Explanation of very simple methods for atmospheric corrections and an example adapted from a paper of the Dept. of Thermodynamics, University of Valencia, Spain.
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform DomainCSCJournals
Remotely sensed data is an effective source of information for monitoring changes in land use and land cover. However remotely sensed images are often degraded due to atmospheric effects or physical limitations. Atmospheric correction minimizes or removes the atmospheric influences that are added to the pure signal of target and to extract more accurate information. The atmospheric correction is often considered critical pre-processing step to achieve full spectral information from every pixel especially with hyperspectral and multispectral data. In this paper, multispectral atmospheric correction approaches that require no ancillary data are presented in spatial domain and transform domain. We propose atmospheric correction using linear regression model based on the wavelet transform and Fourier transform. They are tested on Landsat image consisting of 7 multispectral bands and their performance is evaluated using visual and statistical measures. The application of the atmospheric correction methods for vegetation analyses using Normalized Difference Vegetation Index is also presented in this paper.
This document discusses several approaches for atmospheric correction of remote sensing imagery:
1) Image-based methods like the dark pixel method and regression method estimate and remove atmospheric path radiance.
2) The empirical line method uses ground targets of known reflectance to model atmospheric effects.
3) Radiative transfer models precisely account for atmospheric conditions using numerical models like MODTRAN or 6S to convert pixel values to surface reflectance.
4) Relative correction methods normalize images without absolute calibration to surface reflectance. Atmospheric correction is needed to accurately analyze surface properties from remote sensing data and compare images acquired at different times or wavelengths.
The document describes a new algorithm for correcting the bidirectional reflectance distribution function (BRDF) of remote sensing reflectance measurements in coastal waters. Through radiative transfer simulations for a wide range of conditions, the authors developed a model relating remote sensing reflectance to the inherent optical properties of coastal waters. The new BRDF correction algorithm was shown to reduce uncertainty to below 1% when applied to both in situ and satellite ocean color data, improving on an existing open ocean algorithm. Its application significantly improved the match between in situ and MODIS satellite measurements of coastal waters.
The document proposes a compressed sensing approach to displaced phase center antenna (DPCA) synthetic aperture radar (SAR) imaging that can achieve high resolution and wide swath coverage. It presents a ground-based DPCA SAR experiment using the compressed sensing method. The results show the proposed algorithm suppresses ambiguities caused by nonuniform sampling better than traditional range-Doppler imaging, reconstructing the target scene with high quality. The approach is validated using experimental DPCA SAR data and has potential for use in spaceborne and airborne SAR systems.
This document discusses seismic data processing concepts and computer systems used for digital filtering. It explains that seismic data recorded in the field is processed using computer programs to transform it into a usable geological record section. The processing involves steps like demultiplexing, applying static and normal moveout corrections, filtering, stacking, and other analyses to improve data quality and clarity for geological interpretation. Digital computers allow complex processing techniques to be applied to enhance seismic data and better reveal subsurface structures.
This last part of a course about SAR iamges concerns urban areas.
Recent development about urban are presented. They include advanced modes such as polarimetry, interferometry, DinSAR and POLINSAR.
Speckle is the major multiplicative noise in the SAR(Radar) images, Improvement is done by using stochastic distance methods by assuming data as gamma distribution which enhances the images by 78% overall....
Explanation of very simple methods for atmospheric corrections and an example adapted from a paper of the Dept. of Thermodynamics, University of Valencia, Spain.
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform DomainCSCJournals
Remotely sensed data is an effective source of information for monitoring changes in land use and land cover. However remotely sensed images are often degraded due to atmospheric effects or physical limitations. Atmospheric correction minimizes or removes the atmospheric influences that are added to the pure signal of target and to extract more accurate information. The atmospheric correction is often considered critical pre-processing step to achieve full spectral information from every pixel especially with hyperspectral and multispectral data. In this paper, multispectral atmospheric correction approaches that require no ancillary data are presented in spatial domain and transform domain. We propose atmospheric correction using linear regression model based on the wavelet transform and Fourier transform. They are tested on Landsat image consisting of 7 multispectral bands and their performance is evaluated using visual and statistical measures. The application of the atmospheric correction methods for vegetation analyses using Normalized Difference Vegetation Index is also presented in this paper.
This document discusses several approaches for atmospheric correction of remote sensing imagery:
1) Image-based methods like the dark pixel method and regression method estimate and remove atmospheric path radiance.
2) The empirical line method uses ground targets of known reflectance to model atmospheric effects.
3) Radiative transfer models precisely account for atmospheric conditions using numerical models like MODTRAN or 6S to convert pixel values to surface reflectance.
4) Relative correction methods normalize images without absolute calibration to surface reflectance. Atmospheric correction is needed to accurately analyze surface properties from remote sensing data and compare images acquired at different times or wavelengths.
The document describes a new algorithm for correcting the bidirectional reflectance distribution function (BRDF) of remote sensing reflectance measurements in coastal waters. Through radiative transfer simulations for a wide range of conditions, the authors developed a model relating remote sensing reflectance to the inherent optical properties of coastal waters. The new BRDF correction algorithm was shown to reduce uncertainty to below 1% when applied to both in situ and satellite ocean color data, improving on an existing open ocean algorithm. Its application significantly improved the match between in situ and MODIS satellite measurements of coastal waters.
The document proposes a compressed sensing approach to displaced phase center antenna (DPCA) synthetic aperture radar (SAR) imaging that can achieve high resolution and wide swath coverage. It presents a ground-based DPCA SAR experiment using the compressed sensing method. The results show the proposed algorithm suppresses ambiguities caused by nonuniform sampling better than traditional range-Doppler imaging, reconstructing the target scene with high quality. The approach is validated using experimental DPCA SAR data and has potential for use in spaceborne and airborne SAR systems.
This document discusses seismic data processing concepts and computer systems used for digital filtering. It explains that seismic data recorded in the field is processed using computer programs to transform it into a usable geological record section. The processing involves steps like demultiplexing, applying static and normal moveout corrections, filtering, stacking, and other analyses to improve data quality and clarity for geological interpretation. Digital computers allow complex processing techniques to be applied to enhance seismic data and better reveal subsurface structures.
This last part of a course about SAR iamges concerns urban areas.
Recent development about urban are presented. They include advanced modes such as polarimetry, interferometry, DinSAR and POLINSAR.
Speckle is the major multiplicative noise in the SAR(Radar) images, Improvement is done by using stochastic distance methods by assuming data as gamma distribution which enhances the images by 78% overall....
The document discusses the components of a physically based rendering (PBR) bidirectional reflectance distribution function (BRDF) model. It describes using split-sum approximation and importance sampling by specular lobe for specular image-based lighting, and Riemann sum on polar coordinates for diffuse image-based lighting. It also mentions using texture maps including albedo, metallic, roughness, normal, ambient occlusion and height maps in a rendering pipeline that includes vertex, hull, domain and pixel shaders.
1. Temporal decorrelation effects from scatterer motion can severely degrade the performance of SAR tomography by causing loss of elevation resolution and accuracy.
2. Model-based SAR tomography is more strongly affected by temporal decorrelation compared to adaptive beamforming tomography. Acquisition time spans greater than half the decorrelation time can critically impact performance.
3. Differential tomography is proposed as a new approach that accounts for temporal changes and can extract elevation information more robustly even in temporally decorrelating scenes. It shows potential to improve SAR tomography for future spaceborne missions.
This document proposes using GNSS-R measurements to retrieve the scattering coefficient distribution over the ocean surface for oil slick detection. It presents a method to deconvolve the measured delay-Doppler map to remove the effects of the antenna pattern and retrieve the scattering coefficient values. A simulation applies the method to detect an oil slick in a retrieved scattering coefficient image, demonstrating the potential of this GNSS-R approach for ocean remote sensing applications like oil spill monitoring.
This document discusses geometric corrections in seismic data processing. It covers CDP gathers, stacking traces from common reflection points to improve the signal-to-noise ratio, and applying static and dynamic corrections. Static corrections include weathering corrections to account for low-velocity near-surface layers and elevation corrections. The objectives are to understand how to apply these corrections and interpret stacking charts.
TH1.L10.3: MONOSTATIC CALIBRATION OF BOTH TANDEM-X SATELLITESgrssieee
- The document discusses the monostatic calibration of the TanDEM-X satellites TerraSAR-X and TanDEM-X.
- Key calibration tasks performed on TerraSAR-X in 2009 included geometric calibration, antenna model verification, radiometric calibration, and channel imbalance measurements.
- TanDEM-X's monostatic calibration strategy in 2010 involved geometric calibration, antenna pointing determination, antenna model development, and radiometric calibration using test sites.
- Preliminary results showed the TanDEM-X transmit pulses were similar to TerraSAR-X, its thermal noise matched ground measurements, and antenna patterns agreed with models and each other to within requirements.
1) P-band SAR tomography can provide 3D images of tropical forests with resolution along the vertical direction, exploiting the relationship between reflectivity and multi-baseline signals.
2) Analysis of SAR tomography data from French Guiana showed scattering mechanisms are linked to the ground level and canopy level, with HV polarization dominating volume scattering at the canopy.
3) Relating scattering to independently measured biomass at two sites showed significant correlation between biomass and backscattering from layers between 20-40m above the ground, indicating sensitivity to total above-ground biomass.
The document discusses improving the signal-to-noise ratio (SNR) in biaxial lidar systems through optimizing the receiver aperture geometry. Simulations were conducted to examine the overlap function between the transmitter and receiver fields of view for a vertically pointing lidar across four ranges. Results show that varying the receiver aperture shape, position, and size to fully capture return signals while minimizing background noise can maximize lidar SNR. Proposed aperture designs for each range show improvements to the geometric factor and thus the attainable lidar range compared to a standard small round aperture.
FR1.L09.3 - SAR TOMOGRAPHIC FOCUSING BY COMPRESSIVE SAMPLING: EXPERIMENTS ON ...grssieee
The document proposes a method called Compressive Sampling Tomography (CST) to enhance height resolution in SAR tomography using fewer acquisitions. CST exploits sparsity in the elevation dimension to reconstruct scatterers from undersampled data. Experiments on simulated and real ERS-1/2 SAR data show CST achieves better height resolution than traditional methods using fewer orbits/acquisitions. CST has potential to improve elevation focusing for high resolution SAR imagery.
MODELLING AND ATMOSPHERIC ERRORS IN GPS SIGNAL PROPAGATIONSHADABANSARI57
A BRIEF INTRODUCTION TO IONOSPHERIC AND TROPOSPHERIC ERRORS IN GPS SIGNAL PROPAGATION
DERIVATION OF FORMULA WITH THE BASIC LEVEL.
BASIC UNDERSTANDING OF FIGURE..
FOLLOW THE REFERENCE BOOK FOR MORE DETAIL.
Presentation made by Prof. Adriano Camps (Universitat Politècnica de Catalunya) at ICMARS 2010 (India, 16-December-2010) on the MIRAS instrument aboard ESA's SMOS mission.
The document describes the principles of operation and first results of SMOS, a satellite mission to measure soil moisture and ocean salinity. It discusses the basic principles of synthetic aperture radiometry used by SMOS and describes the MIRAS instrument, including its array topology, receivers, digital correlator system, and calibration system. It also addresses instrument performance metrics like angular resolution and radiometric sensitivity. Lastly, it discusses image reconstruction algorithms and geolocalization of retrieval products.
The document discusses a method called time-warp for estimating nonlinear multi-component motion in differential SAR tomography (D-TomoSAR). It presents the D-TomoSAR system model which accounts for general nonlinear and multi-component displacement. The time-warp method warps the temporal axis to accommodate linear and seasonal motion parameters. It is shown to work on both single and double scatterers for a test site in Las Vegas exhibiting linear and seasonal deformation patterns.
Implementation and comparison of Low pass filters in Frequency domainZara Tariq
This document summarizes a presentation on implementing and comparing low pass filters in the frequency domain. It introduces low pass filters and their use in smoothing images by reducing high frequencies. It then compares ideal, Butterworth, and Gaussian low pass filters. The document demonstrates implementing each filter type in MATLAB on sample images and analyzing the results. Code examples are provided for applying the different low pass filters using 2D fast Fourier transforms.
The CIE system of color specification established in 1931 has remained largely unchanged, but some additions have been made over time, including:
- Defining standard illuminants D and supplementary standard observer based on 10-degree field of view in 1964.
- Recommending reference standards for measuring reflectance factors.
- Specifying measurement geometries such as 45/0 and 0/45 viewing configurations.
The document summarizes the performance of a high-resolution wide-swath SAR system operating in stripmap quad-polarized mode and ultra-wide ScanSAR mode. In stripmap quad-pol mode, the system achieves a spatial resolution of 1m x 1m across 12 subswaths covering a 20-50km swath with a NESZ below -19.5dB and RASR below -19dB and -27dB for cross and co-polarization, respectively. In ultra-wide ScanSAR mode, the system images a 375km swath in a single pass with a spatial resolution of 1m x 9m, NESZ below -22.6dB, RASR
The document discusses standards for illuminants established by the Commission Internationale de l'Éclairage (CIE) in 1931. It describes standard illuminants A, B, C, and D, which were defined to represent common lighting conditions. Standard illuminant A approximates indoor tungsten lighting, while B and C represented daylight but were replaced by the D illuminants in 1963 as better models for different phases of daylight. Standard illuminant D65 is now widely accepted as approximating average daylight.
This document proposes a new SAR superresolution imaging algorithm based on adaptive sidelobe reduction (ASR). It outlines issues with conventional weighting methods and describes how the new algorithm uses ASR to suppress sidelobes without degrading resolution. Simulation results show the new method improves resolution and lowers sidelobes compared to conventional Fourier techniques.
This document summarizes key concepts in radar imaging and measurement using radar. It discusses real-aperture ground imaging radar and how resolution varies with distance. It also covers radar altimetry and how altitude is measured. Finally, it describes techniques for signal integration like coherent integration, which improves signal-to-noise ratio by combining signals while maintaining their phase information.
This senior design project involves designing an FM-CW automobile radar system and algorithms for pedestrian recognition in foggy conditions. The system will use a 77 GHz radar with a phased array antenna to scan a range of 100 meters. Key aspects of the design include antenna design using a patch microstrip array, an LFM-CW waveform, signal processing algorithms for target detection and classification, and constant false alarm rate detection accounting for noise levels and range. The goal is to improve pedestrian detection performance in fog through improved range resolution and Doppler analysis.
Design of 17-Bit Audio Band Delta-Sigma Analog to Digital ConverterKarthik Rathinavel
• Systematically designed a delta sigma ADC with CIFF modular architecture in MATLAB Simulink with an ENOB of 19-bits.
• Designed a decimation filter to remove noise in the digital output of the delta sigma modulator.
• Observed the effect of non-idealities on the modulator such as finite gain, finite bandwidth, slew rate, analog noise and capacitor mismatch.
The document discusses the components of a physically based rendering (PBR) bidirectional reflectance distribution function (BRDF) model. It describes using split-sum approximation and importance sampling by specular lobe for specular image-based lighting, and Riemann sum on polar coordinates for diffuse image-based lighting. It also mentions using texture maps including albedo, metallic, roughness, normal, ambient occlusion and height maps in a rendering pipeline that includes vertex, hull, domain and pixel shaders.
1. Temporal decorrelation effects from scatterer motion can severely degrade the performance of SAR tomography by causing loss of elevation resolution and accuracy.
2. Model-based SAR tomography is more strongly affected by temporal decorrelation compared to adaptive beamforming tomography. Acquisition time spans greater than half the decorrelation time can critically impact performance.
3. Differential tomography is proposed as a new approach that accounts for temporal changes and can extract elevation information more robustly even in temporally decorrelating scenes. It shows potential to improve SAR tomography for future spaceborne missions.
This document proposes using GNSS-R measurements to retrieve the scattering coefficient distribution over the ocean surface for oil slick detection. It presents a method to deconvolve the measured delay-Doppler map to remove the effects of the antenna pattern and retrieve the scattering coefficient values. A simulation applies the method to detect an oil slick in a retrieved scattering coefficient image, demonstrating the potential of this GNSS-R approach for ocean remote sensing applications like oil spill monitoring.
This document discusses geometric corrections in seismic data processing. It covers CDP gathers, stacking traces from common reflection points to improve the signal-to-noise ratio, and applying static and dynamic corrections. Static corrections include weathering corrections to account for low-velocity near-surface layers and elevation corrections. The objectives are to understand how to apply these corrections and interpret stacking charts.
TH1.L10.3: MONOSTATIC CALIBRATION OF BOTH TANDEM-X SATELLITESgrssieee
- The document discusses the monostatic calibration of the TanDEM-X satellites TerraSAR-X and TanDEM-X.
- Key calibration tasks performed on TerraSAR-X in 2009 included geometric calibration, antenna model verification, radiometric calibration, and channel imbalance measurements.
- TanDEM-X's monostatic calibration strategy in 2010 involved geometric calibration, antenna pointing determination, antenna model development, and radiometric calibration using test sites.
- Preliminary results showed the TanDEM-X transmit pulses were similar to TerraSAR-X, its thermal noise matched ground measurements, and antenna patterns agreed with models and each other to within requirements.
1) P-band SAR tomography can provide 3D images of tropical forests with resolution along the vertical direction, exploiting the relationship between reflectivity and multi-baseline signals.
2) Analysis of SAR tomography data from French Guiana showed scattering mechanisms are linked to the ground level and canopy level, with HV polarization dominating volume scattering at the canopy.
3) Relating scattering to independently measured biomass at two sites showed significant correlation between biomass and backscattering from layers between 20-40m above the ground, indicating sensitivity to total above-ground biomass.
The document discusses improving the signal-to-noise ratio (SNR) in biaxial lidar systems through optimizing the receiver aperture geometry. Simulations were conducted to examine the overlap function between the transmitter and receiver fields of view for a vertically pointing lidar across four ranges. Results show that varying the receiver aperture shape, position, and size to fully capture return signals while minimizing background noise can maximize lidar SNR. Proposed aperture designs for each range show improvements to the geometric factor and thus the attainable lidar range compared to a standard small round aperture.
FR1.L09.3 - SAR TOMOGRAPHIC FOCUSING BY COMPRESSIVE SAMPLING: EXPERIMENTS ON ...grssieee
The document proposes a method called Compressive Sampling Tomography (CST) to enhance height resolution in SAR tomography using fewer acquisitions. CST exploits sparsity in the elevation dimension to reconstruct scatterers from undersampled data. Experiments on simulated and real ERS-1/2 SAR data show CST achieves better height resolution than traditional methods using fewer orbits/acquisitions. CST has potential to improve elevation focusing for high resolution SAR imagery.
MODELLING AND ATMOSPHERIC ERRORS IN GPS SIGNAL PROPAGATIONSHADABANSARI57
A BRIEF INTRODUCTION TO IONOSPHERIC AND TROPOSPHERIC ERRORS IN GPS SIGNAL PROPAGATION
DERIVATION OF FORMULA WITH THE BASIC LEVEL.
BASIC UNDERSTANDING OF FIGURE..
FOLLOW THE REFERENCE BOOK FOR MORE DETAIL.
Presentation made by Prof. Adriano Camps (Universitat Politècnica de Catalunya) at ICMARS 2010 (India, 16-December-2010) on the MIRAS instrument aboard ESA's SMOS mission.
The document describes the principles of operation and first results of SMOS, a satellite mission to measure soil moisture and ocean salinity. It discusses the basic principles of synthetic aperture radiometry used by SMOS and describes the MIRAS instrument, including its array topology, receivers, digital correlator system, and calibration system. It also addresses instrument performance metrics like angular resolution and radiometric sensitivity. Lastly, it discusses image reconstruction algorithms and geolocalization of retrieval products.
The document discusses a method called time-warp for estimating nonlinear multi-component motion in differential SAR tomography (D-TomoSAR). It presents the D-TomoSAR system model which accounts for general nonlinear and multi-component displacement. The time-warp method warps the temporal axis to accommodate linear and seasonal motion parameters. It is shown to work on both single and double scatterers for a test site in Las Vegas exhibiting linear and seasonal deformation patterns.
Implementation and comparison of Low pass filters in Frequency domainZara Tariq
This document summarizes a presentation on implementing and comparing low pass filters in the frequency domain. It introduces low pass filters and their use in smoothing images by reducing high frequencies. It then compares ideal, Butterworth, and Gaussian low pass filters. The document demonstrates implementing each filter type in MATLAB on sample images and analyzing the results. Code examples are provided for applying the different low pass filters using 2D fast Fourier transforms.
The CIE system of color specification established in 1931 has remained largely unchanged, but some additions have been made over time, including:
- Defining standard illuminants D and supplementary standard observer based on 10-degree field of view in 1964.
- Recommending reference standards for measuring reflectance factors.
- Specifying measurement geometries such as 45/0 and 0/45 viewing configurations.
The document summarizes the performance of a high-resolution wide-swath SAR system operating in stripmap quad-polarized mode and ultra-wide ScanSAR mode. In stripmap quad-pol mode, the system achieves a spatial resolution of 1m x 1m across 12 subswaths covering a 20-50km swath with a NESZ below -19.5dB and RASR below -19dB and -27dB for cross and co-polarization, respectively. In ultra-wide ScanSAR mode, the system images a 375km swath in a single pass with a spatial resolution of 1m x 9m, NESZ below -22.6dB, RASR
The document discusses standards for illuminants established by the Commission Internationale de l'Éclairage (CIE) in 1931. It describes standard illuminants A, B, C, and D, which were defined to represent common lighting conditions. Standard illuminant A approximates indoor tungsten lighting, while B and C represented daylight but were replaced by the D illuminants in 1963 as better models for different phases of daylight. Standard illuminant D65 is now widely accepted as approximating average daylight.
This document proposes a new SAR superresolution imaging algorithm based on adaptive sidelobe reduction (ASR). It outlines issues with conventional weighting methods and describes how the new algorithm uses ASR to suppress sidelobes without degrading resolution. Simulation results show the new method improves resolution and lowers sidelobes compared to conventional Fourier techniques.
This document summarizes key concepts in radar imaging and measurement using radar. It discusses real-aperture ground imaging radar and how resolution varies with distance. It also covers radar altimetry and how altitude is measured. Finally, it describes techniques for signal integration like coherent integration, which improves signal-to-noise ratio by combining signals while maintaining their phase information.
This senior design project involves designing an FM-CW automobile radar system and algorithms for pedestrian recognition in foggy conditions. The system will use a 77 GHz radar with a phased array antenna to scan a range of 100 meters. Key aspects of the design include antenna design using a patch microstrip array, an LFM-CW waveform, signal processing algorithms for target detection and classification, and constant false alarm rate detection accounting for noise levels and range. The goal is to improve pedestrian detection performance in fog through improved range resolution and Doppler analysis.
Design of 17-Bit Audio Band Delta-Sigma Analog to Digital ConverterKarthik Rathinavel
• Systematically designed a delta sigma ADC with CIFF modular architecture in MATLAB Simulink with an ENOB of 19-bits.
• Designed a decimation filter to remove noise in the digital output of the delta sigma modulator.
• Observed the effect of non-idealities on the modulator such as finite gain, finite bandwidth, slew rate, analog noise and capacitor mismatch.
The document discusses simulation experiments on atmospheric propagation compensation methods for coherent laser systems. It summarizes the effects of atmospheric turbulence on received signals and available compensation techniques. Simulation results show that adaptive optics and phase compensation techniques can improve coherent power gain and reduce uncertainty for coherent lidar and free-space optical communication systems. Non-conjugated adaptive optics using blind compensation algorithms is also proposed.
1. The document describes signal processing techniques for Synthetic Aperture Radar (SAR), including SAR signal specifications, different SAR imaging modes, and common SAR processing algorithms like Range Doppler and Chirp Scaling.
2. Key steps in SAR processing are described, such as de-chirping the received signal, applying the stationary phase principle to focus the signal, and using techniques like reference function multiplication to decouple nonlinear dependencies in the signal.
3. Several test conditions are simulated to validate the SAR processing algorithms, including varying parameters like the number and location of targets and the squint angle. Target detection performance is evaluated under each condition.
The document discusses the resolution limit of polarimetric radar and the performance of the polarimetric bandwidth extrapolation (PBWE) technique. It presents a signal model for polarimetric radar and derives the statistical resolution limit (SRL) and Cramér-Rao bound (CRB) for estimating the separation between two targets. Computer simulations show that PBWE achieves resolutions close to the SRL, and polarization information helps improve resolution when the target polarizations are different. Polarimetric radar can achieve higher resolution on average than single-polarization radar.
1. The document describes measuring and analyzing the radiation patterns of a dual-polarized meteorological radar antenna that was upgraded from single to dual polarization.
2. A Fresnel-zone holographic technique was used to measure the antenna's co-polarized and cross-polarized radiation patterns. The sidelobes were found to be higher than predicted.
3. Analysis of the aperture field data identified surface errors in the reflector dish and shadowing from the feed crook as contributing to the elevated sidelobes. Both theoretical modeling and manipulation of the measured data supported this finding.
The document discusses the design of finite impulse response (FIR) filters. It describes ideal filters and conditions for non-distortion. It then discusses practical considerations for filter design, including the selection of FIR vs infinite impulse response (IIR) filters. The main method covered is the window method for FIR filter design, which involves truncating the ideal impulse response using a window function to reduce ripples. Common window functions like rectangular, Bartlett, Hanning, Hamming, and Blackman are described and compared. An example design using the window method is also provided.
Comparison of Single Channel Blind Dereverberation Methods for Speech SignalsDeha Deniz Türköz
This document provides an outline and background information for a thesis that compares single channel blind dereverberation methods for speech signals. Section 1 introduces the topic of reverberation and the goal of blind dereverberation. Section 2 provides background on speech features, reverberation modeling, room impulse responses, and non-negative matrix factorization. Section 3 describes five blind dereverberation methods: delayed linear prediction, weighted prediction error, Laplacian weighted prediction error, NMF-based spectral modeling, and a proposed sparsity penalized weighted least squares method. Section 4 will cover experiments and comparisons of these methods, while Section 5 will discuss conclusions.
The document discusses fast factorized back projection (FFBP) for processing circular synthetic aperture radar (CSAR) data. FFBP was adapted for CSAR by modifying the orientation of the polar grids used at each subaperture to follow the circular trajectory. Experimental results using real CSAR data from Germany's E-SAR system validated the FFBP-CSAR algorithm, showing high accuracy and significant speed improvements over conventional backprojection. The algorithm is now being used to process data from new multi-circular flight campaigns.
The document discusses fast factorized back projection (FFBP) for processing circular synthetic aperture radar (CSAR) data. FFBP divides the synthetic aperture into sub-apertures and backprojects them onto polar grids. For CSAR, the polar grids for each sub-aperture must change orientation to follow the circular trajectory. Experimental results using real CSAR data from Germany's E-SAR system show FFBP adapted for CSAR provides high-accuracy reconstruction and is over 25,000 times faster than conventional backprojection.
This document describes 4 laboratories related to radar and remote sensing:
1. Evaluation of SNR and EIRP from the radar range equation for different frequencies and target cross-sections.
2. Calculation of refractive index and obstacle diffraction, including orographic profile download and computation of distance from line of sight.
3. Detection of echo returns through signal integration, including generation of transmitted signals and identification of convolutional signals.
4. Application of radar meteorology, including hourly cumulative rain maps, comparison to terrestrial gauge data, radar accuracy analysis, and spatial averaging of radar data.
DSP_2018_FOEHU - Lec 06 - FIR Filter DesignAmr E. Mohamed
This lecture discusses the design of finite impulse response (FIR) filters. It introduces the window method for FIR filter design, which involves truncating the ideal impulse response with a window function to obtain a causal FIR filter. Common window functions are presented such as rectangular, triangular, Hanning, Hamming, and Blackman windows. These windows trade off main lobe width and side lobe levels. The document provides an example design of a low-pass FIR filter using the Hamming window to meet given passband and stopband specifications.
Sidelobe reduction in Synthetic Aperture Radar (SAR) using Multi Stages of Li...ijceronline
A commonly used Synthetic Aperture Radar (SAR) pulse is the Linear Frequency Modulated (LFM) pulse. It has the advantage of greater bandwidth while keeping the pulse duration short and the envelope constant. However, the matched filter output of this signal contains range sidelobes with the first sidelobe at a level of -13.2 dB to the peak of the main lobe. In this paper, the linear frequency modulation (LFM) waveform and matched filter response are introduced. The principle of Multi Stages of Linear Frequency Modulation (MS-LFM) is also discussed. Simulation results of the proposed MS-LFM signal are presented, where sidelobe level reduction of more than -20 dB can be achieved
The document discusses applying azimuth phase coding (APC) techniques to suppress range ambiguities in multichannel synthetic aperture radar (SAR) systems. It finds that while APC does not produce a simple Doppler shift in multichannel SAR signals as it does in conventional systems, it can still provide improved ambiguity suppression. The level of suppression depends on factors like the azimuth antenna pattern, oversampling ratio, and number of receive channels. When applied to example high-resolution wide-swath SAR systems, the reflector-based design achieved 3-8 dB of suppression compared to 0.7 dB for the planar design.
This document summarizes a research paper that compares different digital filtering techniques for removing noise from electrocardiogram (ECG) signals. It describes how finite impulse response (FIR) filters were designed using various windowing techniques, including rectangular, Hamming, Hanning, and Blackman windows. Infinite impulse response (IIR) filters and wavelet transforms were also evaluated for denoising ECG signals. The performance of the different filtering approaches were compared based on the power spectral density and average power of the signals before and after filtering. The paper found that an FIR filter designed with the Kaiser window showed the best results for noise removal from ECG signals.
UNDER WATER NOISE REDUCTION USING WAVELET AND SAVITZKY-GOLAYcsandit
This summary provides the key details from the document in 3 sentences:
The document discusses two methods for reducing noise in underwater acoustic signals used for depth estimation: wavelet-based denoising using stationary wavelet transform and Savitzky-Golay filtering. It analyzes the performance of different wavelet types and polynomial orders/frame sizes for the two filtering methods based on peak signal-to-noise ratio. The results show that Harr wavelet and higher order polynomials with smaller frame sizes provided better noise reduction for the underwater depth estimation signals.
This document discusses the bidirectional reflectance distribution function (BRDF) in coastal waters and its application to validating ocean color satellites. It presents a new BRDF correction algorithm optimized for coastal waters dominated by sediments or colored dissolved organic matter. The algorithm improves match-ups between in situ measurements and MODIS satellite data by reducing uncertainties from 10% to below 1%. It is validated using a one year time series of above-water radiometer measurements in coastal Long Island Sound.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
This presentation is about Food Delivery Systems and how they are developed using the Software Development Life Cycle (SDLC) and other methods. It explains the steps involved in creating a food delivery app, from planning and designing to testing and launching. The slide also covers different tools and technologies used to make these systems work efficiently.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
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The Network on Chip (NoC) has emerged as an effective
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methods that face significant bottlenecks. However, the complexity
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many companies are choosing E-Recruitment as the best
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through many online platforms like Linkedin, Naukri,
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Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
1. Measuring the effective along-track resolution of CryoSat
Michele Scagliola, Aresys srl
Nicolas Tagliani, Aresys srl
Marco Fornari, ESA
2. Outline
Along-track processing for CryoSat SAR/SARIn modes
Theoretical model for along-track resolution
Effective along-track resolution
Azimuth window optimization
Conclusions
3. Along-track processing
WGS84
Azimuth
window
Phase
weighting
FFT
64 pulses 64 beams
N samples
N samples
Along-track IRF Along-track resolution: main
beam width at -3dB with respect
to the peak of the power IRF
4. Azimuth window
The azimuth windowing has been included in the beam forming to mitigate the effect of clutter on the off- nadir beams due to specular backscattering of the ice surface from the nadir. Hamming window is implemented in IPF1 VK1.0:
low sidelobes to suppress the clutter
mainlobe widening that decreases the resolution
Rectangular
Hamming
5. Theoretical model
The along-track resolution of CryoSat for SAR/SARin IRF has been
derived:
R v
PRF h R h
wx f
( )
2 64
0.886
Parameters fixed
by instrument
design
Quantities that are
function of the
position of the satellite
along the orbit
Widening factor due to
the window function
used in the processing:
For IPF1 vk1.0,
with
It’s the only term that
can be modified in IPF1
1 f w
1.486 f w
6. Experimental approach
Level1b products dataset
About 3000 SAR L1b
About 4000 SARIn L1b
From July 2011 to
October 2012 R
v
h Quantities that are function of the
position of the satellite along the
orbit are read from L1b products
R v
PRF h R h
wx f
( )
2 64
0.886
The along-track resolution has been evaluated as
function of operational time and as function of the
geographic position of the Level1b measurement
7. Effective along-track resolution
Mode
Minimum [m]
Average [m]
Maximum [m]
Along-Track resolution
SAR
434.39
448.83
465.13
SARin
434.46
450.42
465.76
SAR+SARin
434.39
449.64
465.76
The along-track resolution has been here represented as function of the position of the satellite Moreover it has been verified that the along-track resolution is approximately constant along the time.
8. Effective along-track resolution
The along-track resolution as function of the Latitude has been reported and a polynomial model of the along-track resolution has been evaluated to compute the average resolution as function of the latitude of the Level1b measurement:
9. Validation of the results
9
To verify the analysis on the effective along- track resolution, a point scatterer has been found in a SAR L1b product and the -3dB width of the along track IRF has been measured.
450 m
The along-track resolution is about 450 m at Latitude 85.61 deg
10. Azimuth window optimization
The average along-track resolution for CryoSat results to be approximately equal to 450 m.
Aiming at improving the along-track resolution, the azimuth window has to be optimized to reduce the widening factor
Trade-off analysis between along-track resolution and clutter suppression as function of the azimuth window. fw
11. Azimuth window optimization
Average along-track resolution [m]
PSLR [dB]
No window
303
13.26
DT PSLR= 37.5dB
404
37.50
Hamming c1=0.2
402
31.60
Hamming c1=0.08
450
42.45
The following azimuth windows have been considered in the optimization analysis:
Dolph-Tchebyshev (DT):
its Fourier transform exhibits the narrowest mainlobe width for the specified sidelobe level
All the sidelobes have the same level
Improvement of about 11%
12. Clutter suppression
To verify if the clutter is sufficiently suppressed using the proposed azimuth windows, a SAR product of the 19th of August 2011 has been processed up to Level1b using the four different windows.
The clutter suppression has been evaluated on
Bright scatterer area for sea ice
Average L1b waveform over sea ice
Average L1b waveform over ocean
Moreover, the Signal-to-Clutter-and-Noise Ratio (SCNR) has been measured for the average L1b waveforms.
13. Sea Ice
Bright scatterer
Weak scatterer
DT has higher clutter than Hamming
Clutter suppression w.r.t. no window is noticeable
The L1b waveform is not dependent of the azimuth window
14. Sea ice: average waveform
About 5 seconds of Level1b waveforms over sea ice have been averaged:
The shape of the average L1b waveform is not dependent on the azimuth window
Window
SCNR
No window
33.39 dB
DT PSLR= - 37.5dB
36.48 dB
Hamming c1=0.2
37.38 dB
Hamming c1=0.08
37.61 dB
15. Ocean: average waveform
About 5 seconds of Level1b waveforms over ocean have been averaged:
The shape of the average L1b waveform is slightly dependent on the azimuth window
Window
SCNR
No window
25.98 dB
DT PSLR= - 37.5dB
29.14 dB
Hamming c1=0.2
29.52 dB
Hamming c1=0.08
29.83 dB
16. Conclusions
Effective along-track resolution for CryoSat SAR/SARIn modes has been evaluated
The current Level1b measurements are characterized by an average resolution approximately equal to 450 m
By optimizing the azimuth window used in along-track processing, it is possible to improve the resolution of about 11% with a very limited loss in clutter suppression