Meng.pptx
•Download as PPTX, PDF•
0 likes•327 views
This document describes an analytical model for optical polarimetric imaging systems. It presents models for characterizing material reflectance using polarimetric BRDF, modeling the sensor reaching radiance using MODTRAN-P, and modeling the sensor and processing algorithm. The analytical model is validated against real outdoor imagery. An adaptive polarimetric target detector is also developed that uses the generalized likelihood ratio test and achieves better detection performance than conventional methods according to ROC curve comparisons.
Report
Share
Report
Share
![Outline ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Multi spectral imaging sensors
The presentation looks into the principle and uses of multi-spectral imaging (MSI) systems. Hyperspectral imaging, an extention of MSI was also covered herein. Moreover, the components of the system were highlighted with special attention paid to the detector (or image sensor). Finally, a few application in the Bioresource Engineering domain was covered
Automatic Building detection for satellite Images using IGV and DSM
This document presents a method for automatic building detection from satellite images using internal gray variance (IGV) and digital surface model (DSM). The proposed method aims to detect low-rising buildings and buildings with partially bright and partially dark rooftops more accurately than existing methods. The key steps include image enhancement, IGV feature extraction, seed point detection using the enhanced image and IGV, clustering using DSM data, binarization, thinning, shadow detection, and segmentation. Results on test satellite images show the method achieves higher detection percentages and lower branch factors than an existing method.
Multispectral imaging in Forensics with VideometerLab 3
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
Particle Image Velocimetry
The document discusses particle image velocimetry (PIV), which is a non-intrusive method for measuring fluid flow velocities. PIV works by seeding the fluid with particles and using a laser sheet and camera to capture particle images. Software then tracks the particle movements between images to calculate velocity vectors across the flow field. PIV has applications in analyzing flows around objects like fish, helicopters, and prosthetic heart valves. Advanced PIV systems are being developed that can perform 3D motion tracking.
Multispectral imaging in Plant Sciences with VideometerLab 3
- Multispectral imaging uses specific wavelengths of light to analyze chemical, physical and spatial properties of samples non-destructively. It combines the strengths of spectroscopy and imaging.
- VideometerLab 3 is a multispectral imaging system that uses 19 LED lights to capture images across different wavelengths, providing more detailed information than standard RGB imaging. Each pixel contains spectral data that reveals chemical identities and their locations.
- Sophisticated software allows for advanced image processing, data analysis, and quantitative modeling to objectively analyze samples while requiring less complexity than hyperspectral imaging systems.
SIGGRAPH 2014 Course on Computational Cameras and Displays (part 2)
Recent advances in both computational photography and displays have given rise to a new generation of computational devices. Computational cameras and displays provide a visual experience that goes beyond the capabilities of traditional systems by adding computational power to optics, lights, and sensors. These devices are breaking new ground in the consumer market, including lightfield cameras that redefine our understanding of pictures (Lytro), displays for visualizing 3D/4D content without special eyewear (Nintendo 3DS), motion-sensing devices that use light coded in space or time to detect motion and position (Kinect, Leap Motion), and a movement toward ubiquitous computing with wearable cameras and displays (Google Glass).
This short (1.5 hour) course serves as an introduction to the key ideas and an overview of the latest work in computational cameras, displays, and light transport.
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...TSC University of Mondragon
Presentation on the implementation of a real-time wireless MIMO system Based on a Sphere Decoder. (EUSIPCO'2006)GAS@IGARSS2011.ppt
The document summarizes the results of a demonstration test for the GEO Atmospheric Sounder (GAS) concept. The test met key requirements, including image resolution <10 mrad, beam efficiency >95%, relative temperature accuracy <2K, and polarization isolation >10 dB. It used a rotating interferometer with 21 dual-polarization receivers to image calibration sources and the sun. The results validated the interferometer concept and showed agreement with theoretical models.
Recommended
Multi spectral imaging sensors
The presentation looks into the principle and uses of multi-spectral imaging (MSI) systems. Hyperspectral imaging, an extention of MSI was also covered herein. Moreover, the components of the system were highlighted with special attention paid to the detector (or image sensor). Finally, a few application in the Bioresource Engineering domain was covered
Automatic Building detection for satellite Images using IGV and DSM
This document presents a method for automatic building detection from satellite images using internal gray variance (IGV) and digital surface model (DSM). The proposed method aims to detect low-rising buildings and buildings with partially bright and partially dark rooftops more accurately than existing methods. The key steps include image enhancement, IGV feature extraction, seed point detection using the enhanced image and IGV, clustering using DSM data, binarization, thinning, shadow detection, and segmentation. Results on test satellite images show the method achieves higher detection percentages and lower branch factors than an existing method.
Multispectral imaging in Forensics with VideometerLab 3
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
Particle Image Velocimetry
The document discusses particle image velocimetry (PIV), which is a non-intrusive method for measuring fluid flow velocities. PIV works by seeding the fluid with particles and using a laser sheet and camera to capture particle images. Software then tracks the particle movements between images to calculate velocity vectors across the flow field. PIV has applications in analyzing flows around objects like fish, helicopters, and prosthetic heart valves. Advanced PIV systems are being developed that can perform 3D motion tracking.
Multispectral imaging in Plant Sciences with VideometerLab 3
- Multispectral imaging uses specific wavelengths of light to analyze chemical, physical and spatial properties of samples non-destructively. It combines the strengths of spectroscopy and imaging.
- VideometerLab 3 is a multispectral imaging system that uses 19 LED lights to capture images across different wavelengths, providing more detailed information than standard RGB imaging. Each pixel contains spectral data that reveals chemical identities and their locations.
- Sophisticated software allows for advanced image processing, data analysis, and quantitative modeling to objectively analyze samples while requiring less complexity than hyperspectral imaging systems.
SIGGRAPH 2014 Course on Computational Cameras and Displays (part 2)
Recent advances in both computational photography and displays have given rise to a new generation of computational devices. Computational cameras and displays provide a visual experience that goes beyond the capabilities of traditional systems by adding computational power to optics, lights, and sensors. These devices are breaking new ground in the consumer market, including lightfield cameras that redefine our understanding of pictures (Lytro), displays for visualizing 3D/4D content without special eyewear (Nintendo 3DS), motion-sensing devices that use light coded in space or time to detect motion and position (Kinect, Leap Motion), and a movement toward ubiquitous computing with wearable cameras and displays (Google Glass).
This short (1.5 hour) course serves as an introduction to the key ideas and an overview of the latest work in computational cameras, displays, and light transport.
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...TSC University of Mondragon
Presentation on the implementation of a real-time wireless MIMO system Based on a Sphere Decoder. (EUSIPCO'2006)GAS@IGARSS2011.ppt
The document summarizes the results of a demonstration test for the GEO Atmospheric Sounder (GAS) concept. The test met key requirements, including image resolution <10 mrad, beam efficiency >95%, relative temperature accuracy <2K, and polarization isolation >10 dB. It used a rotating interferometer with 21 dual-polarization receivers to image calibration sources and the sun. The results validated the interferometer concept and showed agreement with theoretical models.
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...Edge AI and Vision Alliance
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-benosman
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Ryad B. Benosman, Professor at the University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas, presents the "What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications" tutorial at the May 2018 Embedded Vision Summit.
In this presentation, Benosman introduces neuromorphic, event-based approaches for image sensing and processing. State-of-the-art image sensors suffer from severe limitations imposed by their very principle of operation. These sensors acquire the visual information as a series of “snapshots” recorded at discrete point in time, hence time-quantized at a predetermined frame rate, resulting in limited temporal resolution, low dynamic range and a high degree of redundancy in the acquired data. Nature suggests a different approach: Biological vision systems are driven and controlled by events happening within the scene in view, and not – like conventional image sensors – by artificially created timing and control signals that have no relation to the source of the visual information.
Translating the frameless paradigm of biological vision to artificial imaging systems implies that control over the acquisition of visual information is no longer imposed externally on an array of pixels but rather the decision making is transferred to each individual pixel, which handles its own information individually. Benosman introduces the fundamentals underlying such bio-inspired, event-based image sensing and processing approaches, and explores their strengths and weaknesses. He shows that bio-inspired vision systems have the potential to outperform conventional, frame-based vision acquisition and processing systems and to establish new benchmarks in terms of data compression, dynamic range, temporal resolution and power efficiency in applications such as 3D vision, object tracking, motor control and visual feedback loops, in real-time.ESPI - Project Report
This document provides an overview of electronic speckle pattern interferometry (ESPI), which is an optical technique used to measure surface deformations. It describes the basic experimental setup of ESPI including components like lasers, cameras, and computers. It also explains the working principle of ESPI, which involves recording speckle patterns before and after deformation and using phase shifting and image subtraction to calculate displacement fields. Finally, it discusses different ESPI configurations for measuring in-plane and out-of-plane deformations and provides the theoretical basis for intensity calculations in ESPI systems.
Construction of inexpensive Web-Cam based Optical Spectrometer using
This document describes the construction and use of an inexpensive webcam-based optical spectrometer for quantitative spectroscopic studies. Key points:
- An inexpensive spectrometer was built from readily available materials like DVDs, cardboard, tape and glue to enable students to measure electromagnetic spectra as a function of wavelength within 10s of nm resolution and accuracy.
- The spectrometer was calibrated using known emission lines from a helium source and the hydrogen emission spectrum was analyzed, matching theoretical predictions to within 0.04% error.
- The low-cost nature of this device makes it suitable for equipping large classes for hands-on spectroscopy experiments and studies in resource-limited educational settings.
Poster_2
The document discusses research into using microstrip patch antennas to reduce electromagnetic scattering and radar cross-section of objects. Microstrip patches placed on objects and excited with the proper signals can cancel out the scattered field from the object. Simulations showed the scattered field was reduced by over 50 dB using this approach, demonstrating its potential to make objects invisible to radar. Future work will focus on implementing designs using practical electronics.
D04432528
This document describes a laser distance measurement system using a webcam. It consists of a laser transmitter and webcam receiver. The laser pulse is reflected off an object and received by the webcam. Software calculates the distance based on the time of flight. The system achieves high accuracy of ±3cm. It calibrates the system using test measurements to determine the relationship between pixel location of the laser dot and actual distance. This allows accurate distance measurements within a few percent of error out to over 2 meters. Potential improvements discussed are using a laser line instead of dot for more data points and a green laser for better visibility.
Data analysis for effective monitoring of partially shaded residential PV system
Data analysis for effective monitoring of partially shaded residential PV systemSandia National Laboratories: Energy & Climate: Renewables
This document describes a data analysis method to automatically detect energy losses from shadows on a partially shaded residential PV system using only production data. The method defines an error barrier between a benchmark PV system and the studied system. Times when the error exceeds the barrier are marked in red, otherwise green. Periods with high red concentrations indicate shadowing. Shadowed times are then analyzed daily to distinguish between shaded and unshaded days, and further analyze shadowing within expected shadow hours only on shaded days. The goal is to distinguish energy losses due to shadows from other faults using just production data from the inverter.Particle image velocimetry
Particle Image Velocimetry (PIV) is a laser-based technique used to measure instantaneous velocity fields in fluids. It works by illuminating seed particles in the flow with a laser sheet, recording images of the particles with a camera, and using image processing to determine the displacement of particles between images from which velocity fields can be derived. The document discusses the history and principles of PIV, components of a PIV experimental setup including lasers, cameras, seeding particles, and post-processing techniques to analyze PIV data and identify spurious vectors. Applications of PIV include a wide range of industrial and academic fluid flow problems.
Research Poster_LEDFab2
This document describes an experiment to characterize III-V nitride-based LEDs on a CubeSat mission. LED mesas were fabricated in-house and are designed to emit light at 465 nm. The experiment will use two circuits - one to measure current drawn by the LEDs, and another to measure color values emitted. Data will be collected on how coating and radiation exposure affect the LEDs' electroluminescence. The results could help develop more durable light sources for space applications with reduced shielding needs.
IRJET - Computer Vision-based Image Processing System for Redundant Objec...
This document describes a proposed computer vision-based image processing system for detecting redundant objects using a Raspberry Pi. The system would utilize a Raspberry Pi connected to a USB camera to capture video frames and detect motion using OpenCV image processing libraries. When motion is detected, the system would segment the moving object from the background using thresholding techniques and morphological operations. It would then highlight and track the detected object using contour functions. Detected objects would be sent to a monitoring interface along with an alert to allow remote monitoring and response. The system aims to provide low-cost real-time surveillance and intruder detection capabilities.
IRJET- Design the Surveillance Algorithm and Motion Detection of Objects for ...
This document describes a methodology for using computer vision and image processing algorithms to enable surveillance and motion detection capabilities for unmanned aerial vehicles (UAVs). Specifically, it involves using a UAV equipped with cameras to collect imagery of a predefined area. The imagery is transmitted to a ground station where it is processed using OpenCV and Python. Motion detection is performed by subtracting subsequent frames to identify pixel differences and applying a threshold to isolate moving objects from the background. The results show this approach can successfully separate foreground objects from the background and detect vehicle motion in test video footage. The methodology provides a potential solution for more efficient UAV-based surveillance with reduced human involvement and risk.
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing Methods
Most of the computer applications use digital images. Digital image processing acts an important
role in the analysis and interpretation of data, which is in the digital form. Images taken in foggy
weather condition often suffer from poor visibility and clarity. After the study of several fast
dehazing methods like Tan’s dehazing technique, Fattal’s dehazing technique and aiming Heat al
dehazing technique, Dark Channel Prior (DCP) intended by He et al is most substantive technique
for dehazing.This survey aims to study about various existing methods such as polarization, dark
channel prior, depth map based method etc. are used for dehazing.
X rays lithography
This document discusses x-ray photolithography, which uses x-rays to transfer geometric patterns from a mask to a resist on a substrate. It describes the lithographic process and sources of x-rays, including electron impact and synchrotron sources. The procedure of x-ray photolithography involves applying PMMA resist to a silicon wafer, exposing it to x-rays through an absorber/membrane mask, and developing the pattern. Key advantages are high resolution capability due to less diffraction effects and large depth of focus. Applications include fabrication of gigabit DRAM and MEMS technologies. Limitations include inability to focus x-rays through a lens and high costs of producing masks.
Ieee 2016 nss mic poster N30-21
An artificial neural network was used to accurately identify the interaction positions of gamma photons in a gamma camera detector module. Training datasets were acquired along lines parallel to the x and y axes to simplify the training process and optimize the neural network structure. The proposed method improved discrimination accuracy at the edges of the detector compared to conventional algorithms and reduced the energy resolution from 22.8% to 15.7%, demonstrating its effectiveness for gamma camera systems.
Extend Your Journey: Introducing Signal Strength into Location-based Applicat...
Reducing the communication energy is essential to facilitate the growth of emerging mobile applications. In this paper, we introduce signal strength into location-based applications to reduce the energy consumption of mobile devices for data reception. First, we model the problem of data fetch scheduling, with the objective of minimizing the energy required to fetch location-based information without adversely impacting user experience. Then, we propose a dynamic-programming algorithm to solve the fundamental problem and prove its optimality in terms of energy savings. We also provide an optimality condition with respect to signal strength fluctuations. Finally, based on the algorithm, we consider implementation issues. We have also developed a virtual tour system integrated with existing web applications to validate the practicability of the proposed concept. The results of experiments conducted based on real-world case studies are very encouraging.
ieee nss mic 2016 poster N30-21
ieee nss mic 2016 poster N30-21
Pixel Discrimination using Artificial Neural Network for Gamma Camera Module
Web odm workflow pres
The document describes a process for analyzing drone images to generate geospatial data including extracting EXIF metadata from images, using overlapping images to generate a 3D point cloud, texturing the point cloud to create a mesh, deriving a digital elevation model from the mesh, and orthorectifying and georeferencing images.
Determining the causes and rates of PV degradation using the Loss Factors Mod...
Determining the causes and rates of PV degradation using the Loss Factors Mod...Sandia National Laboratories: Energy & Climate: Renewables
Determining the causes and rates of PV degradation using the Loss Factors Model (LFM) with high quality IV measurementsGPU Accelerated Automated Feature Extraction From Satellite Images
This document discusses GPU accelerated automated feature extraction from satellite images. The authors describe an algorithm that uses two Laplacian of Gaussian (LoG) masks on panchromatic or multispectral images to detect zero crossing points and extract pixels based on standard deviation. The extracted images from the two LoG masks are combined and can undergo additional smoothing. Applying this algorithm with GPUs provides a substantial performance improvement and speedup of 20 times compared to conventional computing.
Structural Health Monitoring Aluminum Honeycomb Sandwich Composite Panel
NASA evaluated using fiber Bragg gratings (FBG) embedded in honeycomb sandwich carbon composite panels as impact sensors to detect damage. An FBG sensor was embedded in a panel between the face-sheet and core. Impacts of 1 ft-lb were made at one-inch intervals and data was collected from the FBG and acoustic emission sensors. Results showed that FBG sensors could successfully detect impacts and have benefits over traditional sensors by enabling strain measurement and eliminating needs for additional systems.
Multispectral Imaging of Grains and Seeds with VideometerLab 3
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Local Optimal Polarization of Piezoelectric Material
My presentation at the 9th Int. Workshop on Direct and Inverse Problems in Piezoelectricity in Weimar (30.09-02.10.2013).
20 Years of KVH Fiber Optic Gyro Technology: Presented at SPIE 2016
20 Years of KVH Fiber Optic Gyro Technology: The Evolution from Large, Low Performance FOGs to Compact, Precise FOGs and FOG-based Inertial Systems
More Related Content
What's hot
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...Edge AI and Vision Alliance
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-benosman
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Ryad B. Benosman, Professor at the University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas, presents the "What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications" tutorial at the May 2018 Embedded Vision Summit.
In this presentation, Benosman introduces neuromorphic, event-based approaches for image sensing and processing. State-of-the-art image sensors suffer from severe limitations imposed by their very principle of operation. These sensors acquire the visual information as a series of “snapshots” recorded at discrete point in time, hence time-quantized at a predetermined frame rate, resulting in limited temporal resolution, low dynamic range and a high degree of redundancy in the acquired data. Nature suggests a different approach: Biological vision systems are driven and controlled by events happening within the scene in view, and not – like conventional image sensors – by artificially created timing and control signals that have no relation to the source of the visual information.
Translating the frameless paradigm of biological vision to artificial imaging systems implies that control over the acquisition of visual information is no longer imposed externally on an array of pixels but rather the decision making is transferred to each individual pixel, which handles its own information individually. Benosman introduces the fundamentals underlying such bio-inspired, event-based image sensing and processing approaches, and explores their strengths and weaknesses. He shows that bio-inspired vision systems have the potential to outperform conventional, frame-based vision acquisition and processing systems and to establish new benchmarks in terms of data compression, dynamic range, temporal resolution and power efficiency in applications such as 3D vision, object tracking, motor control and visual feedback loops, in real-time.ESPI - Project Report
This document provides an overview of electronic speckle pattern interferometry (ESPI), which is an optical technique used to measure surface deformations. It describes the basic experimental setup of ESPI including components like lasers, cameras, and computers. It also explains the working principle of ESPI, which involves recording speckle patterns before and after deformation and using phase shifting and image subtraction to calculate displacement fields. Finally, it discusses different ESPI configurations for measuring in-plane and out-of-plane deformations and provides the theoretical basis for intensity calculations in ESPI systems.
Construction of inexpensive Web-Cam based Optical Spectrometer using
This document describes the construction and use of an inexpensive webcam-based optical spectrometer for quantitative spectroscopic studies. Key points:
- An inexpensive spectrometer was built from readily available materials like DVDs, cardboard, tape and glue to enable students to measure electromagnetic spectra as a function of wavelength within 10s of nm resolution and accuracy.
- The spectrometer was calibrated using known emission lines from a helium source and the hydrogen emission spectrum was analyzed, matching theoretical predictions to within 0.04% error.
- The low-cost nature of this device makes it suitable for equipping large classes for hands-on spectroscopy experiments and studies in resource-limited educational settings.
Poster_2
The document discusses research into using microstrip patch antennas to reduce electromagnetic scattering and radar cross-section of objects. Microstrip patches placed on objects and excited with the proper signals can cancel out the scattered field from the object. Simulations showed the scattered field was reduced by over 50 dB using this approach, demonstrating its potential to make objects invisible to radar. Future work will focus on implementing designs using practical electronics.
D04432528
This document describes a laser distance measurement system using a webcam. It consists of a laser transmitter and webcam receiver. The laser pulse is reflected off an object and received by the webcam. Software calculates the distance based on the time of flight. The system achieves high accuracy of ±3cm. It calibrates the system using test measurements to determine the relationship between pixel location of the laser dot and actual distance. This allows accurate distance measurements within a few percent of error out to over 2 meters. Potential improvements discussed are using a laser line instead of dot for more data points and a green laser for better visibility.
Data analysis for effective monitoring of partially shaded residential PV system
Data analysis for effective monitoring of partially shaded residential PV systemSandia National Laboratories: Energy & Climate: Renewables
This document describes a data analysis method to automatically detect energy losses from shadows on a partially shaded residential PV system using only production data. The method defines an error barrier between a benchmark PV system and the studied system. Times when the error exceeds the barrier are marked in red, otherwise green. Periods with high red concentrations indicate shadowing. Shadowed times are then analyzed daily to distinguish between shaded and unshaded days, and further analyze shadowing within expected shadow hours only on shaded days. The goal is to distinguish energy losses due to shadows from other faults using just production data from the inverter.Particle image velocimetry
Particle Image Velocimetry (PIV) is a laser-based technique used to measure instantaneous velocity fields in fluids. It works by illuminating seed particles in the flow with a laser sheet, recording images of the particles with a camera, and using image processing to determine the displacement of particles between images from which velocity fields can be derived. The document discusses the history and principles of PIV, components of a PIV experimental setup including lasers, cameras, seeding particles, and post-processing techniques to analyze PIV data and identify spurious vectors. Applications of PIV include a wide range of industrial and academic fluid flow problems.
Research Poster_LEDFab2
This document describes an experiment to characterize III-V nitride-based LEDs on a CubeSat mission. LED mesas were fabricated in-house and are designed to emit light at 465 nm. The experiment will use two circuits - one to measure current drawn by the LEDs, and another to measure color values emitted. Data will be collected on how coating and radiation exposure affect the LEDs' electroluminescence. The results could help develop more durable light sources for space applications with reduced shielding needs.
IRJET - Computer Vision-based Image Processing System for Redundant Objec...
This document describes a proposed computer vision-based image processing system for detecting redundant objects using a Raspberry Pi. The system would utilize a Raspberry Pi connected to a USB camera to capture video frames and detect motion using OpenCV image processing libraries. When motion is detected, the system would segment the moving object from the background using thresholding techniques and morphological operations. It would then highlight and track the detected object using contour functions. Detected objects would be sent to a monitoring interface along with an alert to allow remote monitoring and response. The system aims to provide low-cost real-time surveillance and intruder detection capabilities.
IRJET- Design the Surveillance Algorithm and Motion Detection of Objects for ...
This document describes a methodology for using computer vision and image processing algorithms to enable surveillance and motion detection capabilities for unmanned aerial vehicles (UAVs). Specifically, it involves using a UAV equipped with cameras to collect imagery of a predefined area. The imagery is transmitted to a ground station where it is processed using OpenCV and Python. Motion detection is performed by subtracting subsequent frames to identify pixel differences and applying a threshold to isolate moving objects from the background. The results show this approach can successfully separate foreground objects from the background and detect vehicle motion in test video footage. The methodology provides a potential solution for more efficient UAV-based surveillance with reduced human involvement and risk.
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing Methods
Most of the computer applications use digital images. Digital image processing acts an important
role in the analysis and interpretation of data, which is in the digital form. Images taken in foggy
weather condition often suffer from poor visibility and clarity. After the study of several fast
dehazing methods like Tan’s dehazing technique, Fattal’s dehazing technique and aiming Heat al
dehazing technique, Dark Channel Prior (DCP) intended by He et al is most substantive technique
for dehazing.This survey aims to study about various existing methods such as polarization, dark
channel prior, depth map based method etc. are used for dehazing.
X rays lithography
This document discusses x-ray photolithography, which uses x-rays to transfer geometric patterns from a mask to a resist on a substrate. It describes the lithographic process and sources of x-rays, including electron impact and synchrotron sources. The procedure of x-ray photolithography involves applying PMMA resist to a silicon wafer, exposing it to x-rays through an absorber/membrane mask, and developing the pattern. Key advantages are high resolution capability due to less diffraction effects and large depth of focus. Applications include fabrication of gigabit DRAM and MEMS technologies. Limitations include inability to focus x-rays through a lens and high costs of producing masks.
Ieee 2016 nss mic poster N30-21
An artificial neural network was used to accurately identify the interaction positions of gamma photons in a gamma camera detector module. Training datasets were acquired along lines parallel to the x and y axes to simplify the training process and optimize the neural network structure. The proposed method improved discrimination accuracy at the edges of the detector compared to conventional algorithms and reduced the energy resolution from 22.8% to 15.7%, demonstrating its effectiveness for gamma camera systems.
Extend Your Journey: Introducing Signal Strength into Location-based Applicat...
Reducing the communication energy is essential to facilitate the growth of emerging mobile applications. In this paper, we introduce signal strength into location-based applications to reduce the energy consumption of mobile devices for data reception. First, we model the problem of data fetch scheduling, with the objective of minimizing the energy required to fetch location-based information without adversely impacting user experience. Then, we propose a dynamic-programming algorithm to solve the fundamental problem and prove its optimality in terms of energy savings. We also provide an optimality condition with respect to signal strength fluctuations. Finally, based on the algorithm, we consider implementation issues. We have also developed a virtual tour system integrated with existing web applications to validate the practicability of the proposed concept. The results of experiments conducted based on real-world case studies are very encouraging.
ieee nss mic 2016 poster N30-21
ieee nss mic 2016 poster N30-21
Pixel Discrimination using Artificial Neural Network for Gamma Camera Module
Web odm workflow pres
The document describes a process for analyzing drone images to generate geospatial data including extracting EXIF metadata from images, using overlapping images to generate a 3D point cloud, texturing the point cloud to create a mesh, deriving a digital elevation model from the mesh, and orthorectifying and georeferencing images.
Determining the causes and rates of PV degradation using the Loss Factors Mod...
Determining the causes and rates of PV degradation using the Loss Factors Mod...Sandia National Laboratories: Energy & Climate: Renewables
Determining the causes and rates of PV degradation using the Loss Factors Model (LFM) with high quality IV measurementsGPU Accelerated Automated Feature Extraction From Satellite Images
This document discusses GPU accelerated automated feature extraction from satellite images. The authors describe an algorithm that uses two Laplacian of Gaussian (LoG) masks on panchromatic or multispectral images to detect zero crossing points and extract pixels based on standard deviation. The extracted images from the two LoG masks are combined and can undergo additional smoothing. Applying this algorithm with GPUs provides a substantial performance improvement and speedup of 20 times compared to conventional computing.
Structural Health Monitoring Aluminum Honeycomb Sandwich Composite Panel
NASA evaluated using fiber Bragg gratings (FBG) embedded in honeycomb sandwich carbon composite panels as impact sensors to detect damage. An FBG sensor was embedded in a panel between the face-sheet and core. Impacts of 1 ft-lb were made at one-inch intervals and data was collected from the FBG and acoustic emission sensors. Results showed that FBG sensors could successfully detect impacts and have benefits over traditional sensors by enabling strain measurement and eliminating needs for additional systems.
Multispectral Imaging of Grains and Seeds with VideometerLab 3
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
What's hot (20)
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...
"What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applic...
Construction of inexpensive Web-Cam based Optical Spectrometer using
Construction of inexpensive Web-Cam based Optical Spectrometer using
Data analysis for effective monitoring of partially shaded residential PV system
Data analysis for effective monitoring of partially shaded residential PV system
IRJET - Computer Vision-based Image Processing System for Redundant Objec...
IRJET - Computer Vision-based Image Processing System for Redundant Objec...
IRJET- Design the Surveillance Algorithm and Motion Detection of Objects for ...
IRJET- Design the Surveillance Algorithm and Motion Detection of Objects for ...
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing Methods
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing Methods
Extend Your Journey: Introducing Signal Strength into Location-based Applicat...
Extend Your Journey: Introducing Signal Strength into Location-based Applicat...
Determining the causes and rates of PV degradation using the Loss Factors Mod...
Determining the causes and rates of PV degradation using the Loss Factors Mod...
GPU Accelerated Automated Feature Extraction From Satellite Images
GPU Accelerated Automated Feature Extraction From Satellite Images
Structural Health Monitoring Aluminum Honeycomb Sandwich Composite Panel
Structural Health Monitoring Aluminum Honeycomb Sandwich Composite Panel
Multispectral Imaging of Grains and Seeds with VideometerLab 3
Multispectral Imaging of Grains and Seeds with VideometerLab 3
Viewers also liked
Local Optimal Polarization of Piezoelectric Material
My presentation at the 9th Int. Workshop on Direct and Inverse Problems in Piezoelectricity in Weimar (30.09-02.10.2013).
20 Years of KVH Fiber Optic Gyro Technology: Presented at SPIE 2016
20 Years of KVH Fiber Optic Gyro Technology: The Evolution from Large, Low Performance FOGs to Compact, Precise FOGs and FOG-based Inertial Systems
A Fibre Optic Future!
Fibre Optic Valley is a cluster of ICT communities and educational institutes developing cutting edge applications using fibre optic technologies and telecommunications. Business Development Manager Jeanette Waax talks with Telecoms IQ to explain some of her interesting insight ahead of her presentation.
Fiber optic sensors for transformers
This document discusses fiber optic sensors for measuring the hot spot temperature of transformer windings. It begins by explaining that the winding temperature is not uniform, with hot spots limiting the transformer's loading capacity, and that conventional measurement methods make assumptions. It then discusses how fiber optic sensors were previously neglected due to fragility and cost but now offer advantages like reliability. Recent developments have created more robust fiber optic probes using GaAs technology. The document explains how the sensors work and details their specifications, installation process, and concludes that fiber optic sensors will likely be widely used for transformer monitoring.
OLED full PPT
OLED - Organic Light Emitting Diode
Today's most rapidly growing technology in World
All display technology now change to OLED
Less Power consumption
Cost Effective
Flexible
Environment Friendly
An optical liquid level sensor based on polarization maintaining
This document describes an optical liquid level sensor based on a polarization-maintaining fiber modal interferometer. The sensor uses a polarization-maintaining fiber spliced between two single-mode fibers to form an interferometer. Changes in the liquid level cause a change in the optical path difference, resulting in a wavelength shift that can be used to measure the liquid level. The sensor is easy to fabricate, structurally stable, and highly sensitive. Experimental results show that the wavelength shift increases linearly with liquid level and refractive index, and decreases with shorter fiber length and increasing temperature.
Magneto-optic-current-transformer
The document discusses magneto-optical current transformers (MOCTs). MOCTs use the Faraday effect to measure current non-invasively using light. They have two main parts: an optical sensor and electronic processing circuit. The optical sensor contains a polarizer, optical glass prism, and analyzer. Polarized light passes through the prism, whose rotation is proportional to the current induced magnetic field. This intensity-modulated light is converted to an electric signal. MOCTs offer advantages like isolation, wide bandwidth and no saturation, but also have disadvantages like temperature sensitivity and insufficient accuracy for power systems currently.
Viewers also liked (7)
Local Optimal Polarization of Piezoelectric Material
Local Optimal Polarization of Piezoelectric Material
20 Years of KVH Fiber Optic Gyro Technology: Presented at SPIE 2016
20 Years of KVH Fiber Optic Gyro Technology: Presented at SPIE 2016
An optical liquid level sensor based on polarization maintaining
An optical liquid level sensor based on polarization maintaining
Similar to Meng.pptx
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
OCT is a recently developed optical interferometric
technique for non-invasive diagnostic medical imag
ing
in vivo; the most sensitive optical imaging modalit
y.OCT finds its application in ophthalmology, blood
flow
estimation and cancer diagnosis along with many non
biomedical applications. The main advantage of
OCT is its high resolution which is in
μ
m range and depth of penetration in mm range. Unlik
e other
techniques like X rays and CT scan, OCT does not co
mprise any x ray source and therefore no radiations
are involved. This research work discusses the basi
cs of spectral domain OCT (SD-OCT), experimental
setup, data acquisition and signal processing invol
ved in OCT systems. Simulation of OCT involving
modelling and signal processing, carried out on Lab
VIEW platform has been discussed. Using the
experimental setup, some of the non biomedical samp
les have been scanned. The signal processing and
image processing of the scanned data was carried ou
t in MATLAB and Lab VIEW, some of the results thus
obtained have been discussed in the end
Digital imaging of head and neck of the animals
Digital imaging in dentistry involves capturing images digitally using sensors rather than film. There are several types of digital detectors including direct detectors like CCD and CMOS sensors, and indirect detectors like photostimulable phosphor plates. Digital imaging has advantages over traditional film like immediate image availability, electronic storage and transmission, and improved diagnostics with tools like magnification and digital manipulation.
Digital imaging of the all body organ of
Digital imaging in dentistry involves capturing images digitally using sensors instead of film. There are three main types of digital detectors: direct, indirect, and semi-direct. Direct detectors like CCD and CMOS sensors directly convert x-rays to digital signals. Indirect detectors like photostimulable phosphor plates first convert x-rays to light, which is then converted to digital. Digital imaging has advantages over analog film like rapid access and storage of images.
IRJET- Comparative Analysis of Different Modulation Technique for Free-Space ...
This document compares different modulation techniques for free-space optical communication, including On-Off Keying (OOK), Binary Phase-Shift Keying (BPSK), Differential Phase-Shift Keying (DPSK) and Pulse Position Modulation (PPM). It analyzes their characteristics such as bit error rate, signal-to-noise ratio, and receiver sensitivity. Through simulations and theoretical analysis, it finds that PPM has the highest power efficiency of the techniques considered. OOK has moderate signal-to-noise ratio requirements but also low cost, while BPSK can enable longer-distance communication with coherent detection.
Presentación Tesis
The document summarizes the theoretical study and modeling of a new concept for an Earth sensor consisting of thermopile detectors with integrated optics for integration into nano and pico-satellites. It describes the objectives to achieve good integration, high accuracy (<0.2°), and low power consumption. It also outlines the development of models to simulate the sensor's thermal, optical, and electronic behavior and validate the design, including modeling the thermopile response, optics geometry, and radiant thermal balance on the sensor.
neutron-detector-based
This document discusses a project to use Medipix detectors to measure ambient radiation levels in the CMS cavern at CERN. Fourteen Medipix3RX detectors will be installed at seven locations to measure particle fluxes and residual radiation doses. The Medipix detectors will be read out using MARSTM electronics. Simulations using FLUKA were performed to predict radiation levels and optimize detector design. Detectors containing lithium fluoride or polyethylene conversion layers will be installed next year to distinguish neutron-induced signals from background radiation.
An Introduction to Scanning Laser Vibrometry for Non-Contact Vibration Measur...
Learn about Polytec’s non-intrusive and highly productive vibration measurement technology for automated multi-point scanning of structures. The webinar will explain its application to aerospace, automotive, civil, biological, medical and micro- structures.
Topics Include:
- Concept and theory of 1D and 3D scanning vibrometry
- Technical advantages and limitations
- Productivity benefits
- Example applications including FEM validation, modal analysis, acoustics, NVH troubleshooting, automated 3D data acquisition with RoboVib and strain measurement
Something newIT-16021 and IT-16026 .pptx
This document presents the design and investigation of a photonic crystal fiber (PCF) biosensor based on surface plasmon resonance (SPR). The proposed sensor aims to achieve higher sensitivity and a simpler structure compared to previous designs. It involves modeling a PCF structure with gold-coated holes using finite element analysis software. Parameters like hole diameter, gold thickness, and analyte refractive index are varied to optimize sensitivity. Simulation results show the proposed sensor achieves maximum amplitude sensitivity of 822 RIU-1, an improvement over previous designs. The simple structure makes it easy to fabricate.
Infrared image enhancement using wavelet transform
This document summarizes an article about enhancing infrared images using wavelet transforms. It discusses how wavelet transforms can be used to separate image details into different frequency subbands. Then a homomorphic enhancement algorithm is applied to transform the details into illumination and reflectance components, amplifying the reflectance to make details more clear. Finally, an inverse wavelet transform is performed to reconstruct an enhanced infrared image with more visible details. The document provides background on infrared imaging and different infrared bands. It also reviews literature on using wavelets for target detection by exploiting scale, edge, and contrast differences between targets and clutter.
IRJET- Comparative Analysis of OOK, BPSK, DPSK and PPM Modulation Techniques ...
This document compares modulation techniques for intersatellite free-space optical communication, including OOK, BPSK, DPSK, and PPM. It analyzes characteristics such as bit error rate, signal-to-noise ratio, and receiver sensitivity. The key findings are that PPM has the highest power efficiency and lowest receiver sensitivity, making it well-suited for free-space optical links. BPSK also has good power efficiency with coherent detection. Simulation results agree with the theoretical analyses and show PPM has the best performance for free-space optical communication systems.
Biosensors And Bioelectronics Presentation by Sijung Hu
Excellent presentation by Sijung Hu, Loughborough University, United Kingdom. He talks about - "Opto-physiological modeling to drive an effective physiological monitoring: from contact to noncontact, from point to imaging" at the 2nd International Webinar on Biosensors And Bioelectronics
Date: July 12-13, 2021
Visit here for more details:
https://conferencemind.com/conference/biosensorsandbioelectronics
Follow us:-
https://www.facebook.com/Conference-Mind-103557674347276/
https://twitter.com/ConferenceMind
https://www.instagram.com/conferencemind/
https://www.linkedin.com/company/conferencemind-conferences/
https://www.youtube.com/channel/UC2KH-I3EBpPSMkJEZQKIU0A
https://in.pinterest.com/academic0532/_created/
https://www.flickr.com/photos/190611570@N06/
Ellipsometry- non destructive measuring method
Ellipsometry is a non-destructive optical technique that measures the change in polarization state of light upon reflection from or transmission through a sample. It can be used to characterize properties like thickness, composition, and crystallinity of thin films. The document discusses the history and principles of ellipsometry, experimental setups, data analysis techniques using modeling to extract sample properties, and applications in measuring films. Modeling involves using equations to describe light-material interactions and minimizing errors between calculated and measured polarization states.
Gold presentation lastri
The document summarizes the data processing chain for the ALISEO imaging interferometer instrument. It discusses how interferograms captured by the instrument are processed to retrieve at-sensor radiance spectra. The processing involves re-aligning pixel trajectories, interpolating interferograms, removing effects like vignetting and DC offset, and applying an adapted inverse Fourier transform to obtain radiance spectra. Experimental results using laser diodes showed good agreement with the theoretical spectra values.
fiber-optics-communications-optical-detectors
The document discusses optical detectors used in fiber optic communications systems. It describes the functioning of PIN photodetectors and avalanche photodetectors (APDs). PIN photodetectors convert received light photons into an electric current through the photoelectric effect. Their performance is characterized by quantum efficiency and responsivity. APDs have higher gain than PIN photodiodes through impact ionization, but also higher noise. Both device types aim to optimize sensitivity while minimizing noise.
Satellite Imaging System
The aim of this paper is to present the essential elements of the electro-optical imaging system EOIS for space applications and how these elements can affect its function. After designing a spacecraft for low orbiting missions during day time, the design of an electro-imaging system becomes an important part in the satellite because the satellite will be able to take images of the regions of interest. An example of an electro-optical satellite imaging system will be presented through this paper where some restrictions have to be considered during the design process. Based on the optics principals and ray tracing techniques the dimensions of lenses and CCD (Charge Coupled Device) detector are changed matching the physical satellite requirements. However, many experiments were done in the physics lab to prove that the resizing of the electro optical elements of the imaging system does not affect the imaging mission configuration. The procedures used to measure the field of view and ground resolution will be discussed through this work. Examples of satellite images will be illustrated to show the ground resolution effects.
Basics of dip
This document provides an overview of digital image processing. It discusses what image processing entails, including enhancing images, extracting information, and pattern recognition. It also describes various image processing techniques such as radiometric and geometric correction, image enhancement, classification, and accuracy assessment. Radiometric correction aims to reduce noise from sources like the atmosphere, sensors, and terrain. Geometric correction geometrically registers images. Image enhancement improves interpretability. Classification categorizes pixels. The document outlines both supervised and unsupervised classification methods.
2019-06-07 Characterization and research of semiconductors with an FTIR spect...
2019-06-07 Educational seminar at EP-3 University of Wuerzburg
I will present particular experiments and related results with FTIR spectrometer, so one may consider these experiments complimentary for you research.
Sensors for remote sensing
This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
Sensor
This document discusses the design of a temperature sensor using a two-dimensional photonic crystal. It describes the basic principles of photonic crystals and their ability to inhibit light propagation in bandgap regions. The sensor is designed by introducing a point defect in a silicon-based 2D photonic crystal structure. Simulation results show the output resonant wavelength shifts with increasing temperature levels, allowing for temperature sensing. Parameters like sensitivity, resolution and operating range are evaluated. Finite-difference time-domain (FDTD) simulation is used to analyze the sensor's performance.
M.sc. m kamel
M.sc. Mahmoud Kamel, Developing a DSP Core using an FPGA Prototype for Scintillation Detector Signals, supervised by Dr. Ashraf Aboshosha, ICGST
Similar to Meng.pptx (20)
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
IRJET- Comparative Analysis of Different Modulation Technique for Free-Space ...
IRJET- Comparative Analysis of Different Modulation Technique for Free-Space ...
An Introduction to Scanning Laser Vibrometry for Non-Contact Vibration Measur...
An Introduction to Scanning Laser Vibrometry for Non-Contact Vibration Measur...
Infrared image enhancement using wavelet transform
Infrared image enhancement using wavelet transform
IRJET- Comparative Analysis of OOK, BPSK, DPSK and PPM Modulation Techniques ...
IRJET- Comparative Analysis of OOK, BPSK, DPSK and PPM Modulation Techniques ...
Biosensors And Bioelectronics Presentation by Sijung Hu
Biosensors And Bioelectronics Presentation by Sijung Hu
2019-06-07 Characterization and research of semiconductors with an FTIR spect...
2019-06-07 Characterization and research of semiconductors with an FTIR spect...
More from grssieee
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
1) The document describes a segmentation algorithm for polarimetric SAR (PolSAR) data that can model both scalar-texture and multi-texture scattering.
2) The algorithm uses log-cumulants and hypothesis testing to determine whether a scalar-texture or dual-texture model best fits the data within each segment.
3) The algorithm is tested on simulated multi-texture PolSAR data and is shown to accurately segment the classes and estimate their texture parameters. However, when applied to real data sets, the algorithm only finds the simpler scalar-texture case.
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
This document discusses using wavelet transforms to analyze two-point statistics of polarimetric synthetic aperture radar (PolSAR) data. It introduces wavelet variance and kurtosis as metrics that can be applied to PolSAR data transformed using a wavelet frame. It then provides an example of applying this analysis to ALOS PALSAR data over Hawaii's Papau Seamount to characterize sea surface features.
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
The Sentinel-1 mission is part of the GMES program and consists of two satellites to provide C-band SAR data for emergency response, marine and land monitoring, and other applications. The satellites operate in a near-polar orbit with a 12 day repeat cycle. The main acquisition mode is an interferometric wide swath mode with 5m range and 20m azimuth resolution over a 250km swath. Sentinel-1 will support operational services and create a long-term SAR data archive.
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
The document summarizes the status of the GMES Space Component program. It describes the Sentinel satellite missions for monitoring land, ocean, atmosphere and emergency situations. The Sentinels will provide long-term data continuity as well as improved coverage compared to existing missions. Sentinel data will be freely and openly available to both operational users and the science community. The program is on track, with the first Sentinel launches beginning in 2013.
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
The document describes the progress of the development of CFOSAT SCAT, a Ku-band scatterometer onboard the Chinese-French Oceanography Satellite (CFOSAT). CFOSAT will measure global ocean surface winds and waves to improve weather forecasting, ocean dynamics modeling, climate research, and understanding of surface processes. The SCAT instrument is a rotating fan-beam radar scatterometer that will retrieve wind vectors using measurements of backscatter at incidence angles from 26 to 46 degrees. It has a wide swath of over 1000km and specifications are designed to achieve high-precision wind measurements globally. System details including parameters and the operation mode are provided.
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
The document describes the SAP4PRISMA project which aims to develop algorithms and products to support the Italian hyperspectral PRISMA Earth observation mission. The project will focus on data processing, quality assessment, classification methods, and generating level 3 and 4 products for applications like land monitoring, agriculture, and hazard monitoring. It will include the generation of "PRISMA-like" synthetic test data to support algorithm development and validation. The research will be carried out across multiple work packages focusing on topics like data quality, classification methods, calibration/validation, and developing applicative products.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
1) The EO-1 Hyperion instrument has collected over 65,000 scenes over its 12-year mission to study land and coastal ecosystems using imaging spectroscopy.
2) Studies using Hyperion data have identified spectral indices related to chlorophyll that correlate with carbon flux measurements at different sites, including a Zambian woodland and North Carolina forest sites.
3) Time series of Hyperion data at flux tower sites show seasonal changes in these spectral indices that match patterns in ecosystem carbon uptake and release.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
1) The EO-1 Hyperion instrument has collected over 65,000 scenes over its 12-year mission to study land and coastal ecosystems using imaging spectroscopy.
2) Studies using Hyperion data have identified spectral indices related to chlorophyll that correlate with carbon flux measurements at different forest, grassland, and woodland sites globally.
3) Time series of Hyperion data at sites in Zambia, North Carolina, and Kansas show seasonal changes in these spectral indices that match patterns in ecosystem carbon uptake and release measured by flux towers.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/Hyperion has been collecting hyperspectral imagery for over 12 years, acquiring over 65,000 scenes. Researchers have been using these data to develop and validate algorithms for estimating vegetation properties like fraction of absorbed photosynthetically active radiation (fAPAR) and photochemical reflectance index (PRI). Comparisons of Hyperion data to field measurements at flux tower sites show these algorithms can accurately track vegetation changes over time and relate spectral properties to productivity metrics like light use efficiency and gross ecosystem productivity. This work is helping prototype data products for the upcoming HyspIRI mission.
Test
This document is a return and exchange form for a wetsuit company. It provides instructions for customers to fill out when returning an undamaged item for a refund, exchange, or size change. The form requests information like the customer's order details, contact information, the suit being returned and its size, the reason for return, and if applicable, the new desired size. It also provides the return shipping address and notifies customers that the company is not responsible for lost or damaged return packages.
2011_Fox_Tax_Worksheets.pdf
This document provides instructions for clients of Fox Tax Planning and Preparation for preparing to have their taxes filed. It lists important income and deduction documentation to bring to an appointment, such as W-2s, 1099s, receipts for donations. It also includes an engagement letter detailing the services to be provided, responsibilities of both parties, fees, and electronic filing and signature procedures. Clients are asked to sign the letter agreeing to the terms and return it along with their tax information.
Tana_IGARSS2011.ppt
The document discusses mapping wetlands in North America using MODIS 500m imagery. It describes wetlands and existing global wetland databases. The methodology uses MODIS data from 2008, digital elevation models, and reference data to classify wetlands into three types - forest/shrub dominant wetlands, herbaceous dominant wetlands, and sea grass dominant wetlands. Training data is collected from existing land cover maps and Landsat imagery. A decision tree model and maximum likelihood classification are applied to extract wetlands from other land covers.
Solaro_IGARSS_2011.ppt
The document summarizes research using SBAS-DInSAR (Small BAseline Subset differential interferometric synthetic aperture radar) techniques to analyze ground deformation at Mt. Etna volcano in Italy over the last 18 years using ERS and ENVISAT satellite data. The analysis revealed three main deformation processes: inflation of the volcanic edifice, subsidence of sectors on the eastern flank due to gravitational spreading, and deflation-inflation cycles associated with eruptive and post-eruptive activity. More recent analysis using higher resolution COSMO-SkyMed data from 2009-2010 detected deformation related to faults and a 2010 earthquake more precisely than lower resolution ENVISAT data.
More from grssieee (20)
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
Recently uploaded
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Recently uploaded (20)
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Meng.pptx
- 1. 1 Analytical Modeling of Optical Polarimetric Imaging Systems 2011 IEEE International Geoscience and Remote Sensing Symposium LingfeiMeng: lxm8537@rit.edu John P. Kerekes: kerekes@cis.rit.edu Rochester Institute of Technology 29 July 2011 This work was supported by the AFOSR under agreement FA9550-08-1-0028.
- 3. Background
- 4. Motivation
- 5. Analytical Model of Optical Polarization
- 6. Scene Model
- 7. Sensor Model
- 10. Background
- 11. Motivation
- 12. Analytical Model of Optical Polarization
- 13. Scene Model
- 14. Sensor Model
- 16. Polarization of Light 4 Circular polarization Linear polarization http://en.wikipedia.org/wiki/Polarizer
- 17. 5 Polarization-sensitive Optical System θ3 θ2 θ1 Linear Polarizer Optical Filter CCD Camera Conventional Operation Methods Pickering: 0°, 45°, 90° Fessenkov: 0°, 60°, 120° M-Pickering: 0°, 45°, 90°, 135° Iθ1 S0 S1 DoLP Iθ2 S2 Iθ3 Stokes Images Multi-channel Intensity Images
- 18. 6 Example of Polarization Imagery Image was collected by Dr. Michael D. Presnar on May 25 2010.
- 19. 7 Polarization-sensitive Optical System Linear Polarizer Optical Filter CCD Camera S0 Iθ1 S1 DoLP Iθ2 S2 Iθ3 Stokes Images Multi-channel Intensity Images
- 21. Background
- 22. Motivation
- 23. Analytical Model of Optical Polarization
- 24. Scene Model
- 25. Sensor Model
- 27. Analytical Modeling Framework 9 Processing Algorithm Description Sensor Parameter Files Material Database Stokes Radiance Statistics Intensity Signal Statistics Processing Model Performance Metrics Sensor Model Scene Model User Inputs Scene Description Processing Settings Sensor Settings J.P. Kerekes and J.E. Baum, "Spectral Imaging System Analytical Model for Subpixel Object Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 5, pp. 1088-1101, May 2002.
- 28. Characterize Material Reflectance Bidirectional reflectance distribution function (BRDF) 10
- 29. Characterize Material Reflectance Polarimetric BRDF (pBRDF) The pBRDF can be expressed as the sum of a polarized specular component and an unpolarized diffuse component 11 M. W. Hyde, J. D. Schmidt, and M. J. Havrilla, “A geometrical optics polarimetric bidirectional reflectance distribution function for dielectric and metallic surfaces,” Opt. Express, vol. 17, no. 24, pp. 22138–22153, Nov 2009.
- 30. 12 pBRDF Model Determined DoLP 0 0 0 0 0 0 Vegetation DoLP Glass DoLP Concrete DoLP
- 31. 13 Polar Coordinate Definition
- 32. 14 Polar Coordinate Definition Sensor zenith angle Radial coordinate
- 33. 15 Polar Coordinate Definition Relative azimuth angle Angular coordinate
- 34. 16 pBRDF Model Determined DoLP 0 0 0 0 0 0 Vegetation DoLP Glass DoLP Concrete DoLP
- 36. With the upwelled radiance , the total sensor reaching radiance can be found as 17
- 37. 18 MODTRAN-P Predicted Downwelled Radiance
- 38. 19 MODTRAN-P Predicted Downwelled Radiance S1 S0 W/sr/cm2/μm Normalized Unit S2 DoLP Normalized Unit Normalized Unit
- 39. 20 MODTRAN-P Predicted Skylight DoLP
- 40. MODTRAN-P Predicted Skylight DoLP 21
- 42. Analytical Modeling Framework 23 Processing Algorithm Description Sensor Parameter Files Material Database Stokes Radiance Statistics Intensity Signal Statistics Processing Model Performance Metrics Sensor Model Scene Model User Inputs Scene Description Processing Settings Sensor Settings
- 46. Model Validation 29 Real data Analytical model
- 47. Analytical Modeling Framework 30 Processing Algorithm Description Sensor Parameter Files Material Database Stokes Radiance Statistics Intensity Signal Statistics Processing Model Performance Metrics Sensor Model Scene Model Signal-to-clutter ratio (SCR) User Inputs Processing Settings Scene Description Sensor Settings Interested vector space Target mean Background mean Background covariance
- 49. Background
- 50. Motivation
- 51. Analytical Model of Optical Polarization
- 52. Scene Model
- 53. Sensor Model
- 55. Adaptive Polarimetric Target Detector (APTD) 32 RX GLRT ROC Curve Comparison L. Meng and J. P. Kerekes, Adaptive Target Detection with a Polarization-sensitive Optical System, Applied Optics, Vol. 50, Issue 13, pp. 1925-1932 (2011) .
- 57. Background
- 58. Motivation
- 59. Analytical Model of Optical Polarization
- 60. Scene Model
- 61. Sensor Model
- 63. Conclusions An analytical model for optical polarization has been designed, and initial validations have shown encouraging results. A system performance metric based on signal-to-clutter ratio (SCR) has been suggested, and can be potentially used for system optimization. 34 Thank you!