In this paper we propose a new test statistic for unsupervised
change detection in polarimetric synthetic aperture radar (PolSAR)
data. We work with multilook complex (MLC) covariance
matrix data, whose underlying model is assumed to be
the scaled complex Wishart distribution. We use the complex
kind Hotelling-Lawley (HL) trace statistic for measuring the
similarity of two covariance matrices. The sampling distribution
of the HL trace is approximated by a Fisher-Snedecor
distribution, which is used to define the significance level of a
constant false alarm rate change detector. The performance of
the proposed method is tested on simulated and real PolSAR
data sets and compared to the likelihood ratio test statistic
This presentation is a comparison of different clustering based on their computational time. This is the first step in creating open source and bespoke Geodemographic classifications in near real time.
Mapping Gradex values on the Tensift basin (Morocco)IJERA Editor
The aim of this study is to elaborate the cartography of Gradex parameter used in the Gradex method for estimating flood peaks in order to size hydraulic structures. Map of spatial variation is elaborated using the geostatistical method of kriging. Several reference functions (exponential model, spherical, linear, Gaussian and cubic) were used for modeling the kriging variogram. Cross-validation enabled a comparison between the results of these models and choice of spherical model with anisotropy and trend fit by a second-order polynomial as the most suitable. The use of available series of annual maximum daily rainfall recorded at 23 rainfall stations, distributed over the Tensift basin, led also to develop the cartography of standard prediction errors‟ values associated to the predicted parameter for each point of Tensift basin. These errors vary from acceptable values (16.8%) to very high ones depending on the density of the rainfall stations at the desired site.
This presentation is a comparison of different clustering based on their computational time. This is the first step in creating open source and bespoke Geodemographic classifications in near real time.
Mapping Gradex values on the Tensift basin (Morocco)IJERA Editor
The aim of this study is to elaborate the cartography of Gradex parameter used in the Gradex method for estimating flood peaks in order to size hydraulic structures. Map of spatial variation is elaborated using the geostatistical method of kriging. Several reference functions (exponential model, spherical, linear, Gaussian and cubic) were used for modeling the kriging variogram. Cross-validation enabled a comparison between the results of these models and choice of spherical model with anisotropy and trend fit by a second-order polynomial as the most suitable. The use of available series of annual maximum daily rainfall recorded at 23 rainfall stations, distributed over the Tensift basin, led also to develop the cartography of standard prediction errors‟ values associated to the predicted parameter for each point of Tensift basin. These errors vary from acceptable values (16.8%) to very high ones depending on the density of the rainfall stations at the desired site.
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...Jimmy Shih-Chun Hung
Quantum information may be encoded into systems of discrete variables (DV) or continuous variables (CV). CV quantum computation has typically been studied at optical frequencies using linear quantum optics to realize Gaussian operations. To achieve universal computation, however, non-Gaussian resources such as the photon number measurements or the cubic phase state are necessary. In superconducting circuits, DV quantum computation is dominant. Here, we propose and study the superconducting parametric cavity for optical quantum computation using microwave photons. At optical frequencies, the qumodes are often separated spatial modes. Here we use the orthogonal frequency modes of the cavity. Gaussian operations between the modes are achieved via standard parametric interactions. In addition, the recent realization of three-photon spontaneous parametric downconversion in this system provides access to both a non-Gaussian gate and resource state, which provides a path to universality. We will present preliminary results towards the development of the parametric cavity for optical quantum computation starting with demonstrations of simple algorithms. One such algorithm is a quantum machine learning algorithm called Quantum Kitchen Sinks.
3D oil reservoir model uncertainty: model-derived uncertainty or uncertainty ...Geovariances
Find out more about the importance of the model uncertainty quantification according to the reservoir study stage.
The presentation highlights the difference between the uncertainty quantification and the capacity of prediction of a model. Model uncertainty is due to various factors such as the lack of precise data, the use of imprecise data or the impossibility to conceive with certainty a conceptual model. Some of the factors can be accounted for (known source of uncertainty) and therefore be captured in a model, leading to classical uncertainty quantification. Other factors cannot be accounted for (unknown source of uncertainty), therefore limiting the capacity of prediction of the model.
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...Beniamino Murgante
Mapping the anthropic backfill of the historical center of Rome (Italy) by using Intrinsic Random Functions of order k (IRF-k)
Ciotoli Giancarlo, Francesco Stigliano, Fabrizio Marconi, Massimiliano Moscatelli, Marco Mancini, Gian Paolo Cavinato - Institute of Environmental Geology and Geo-engineering (I.G.A.G.), National Research Council, Italy
Model calibration or data inversion involves using experimental or field data to estimate the unknown parameters in a mathematical model. In the first part of the talk, I will present a review of a few approaches for model calibration or data inversion with the focus on model discrepancy and measurement bias. A few state-of-art methods, such as modeling the discrepancy by the Gaussian stochastic process (GaSP) or scaled Gaussian stochastic processes (S-GaSP), L2 calibration, Least squares (LS) calibration and orthogonal Gaussian process calibration, will be introduced. The connection and difference between these methods will be discussed. In the second part of talk, I will discuss our ongoing works on calibrating a geophysical model by integrating the different types of the field data, such as the interferometric synthetic aperture radar satellite (InSAR) interferograms, GPS data, velocities of tilt and lava lake from the Kilauea Volcano during the eruption in 2018. This task is complicated by the discrepancy between the model and reality different sample sizes and possible bias in field data. We introduce the scaled Gaussian stochastic process (S-GaSP), a new stochastic process to model the discrepancy function in calibration for the identifiability issue between the calibrated mathematical model and the discrepancy function. We also compare a few approaches to model the measurement bias in the data. A feasible way to fuse the field data from multiple sources will then be discussed. The calibration models are implemented in the "RobustCalibration" R Package on CRAN. The scientific goal of this work is to use data in May 2018 during the earthquake and the eruption of the Kilauea Volcano to resolve the location, volume, and pressure change in the Halema'uma'u Reservoir, as well as relating the results to the inferences from the past caldera collapses.
This presentation is an attempt to introduce Game Theory in one session. It's suitable for undergraduates. In practice, it's best used as a taster since only a portion of the material can be covered in an hour - topics can be chosen according to the interests of the class.
The main reference source used was 'Games, Theory and Applications' by L.C.Thomas. Further notes available at: http://bit.ly/nW6ULD
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...Jimmy Shih-Chun Hung
Quantum information may be encoded into systems of discrete variables (DV) or continuous variables (CV). CV quantum computation has typically been studied at optical frequencies using linear quantum optics to realize Gaussian operations. To achieve universal computation, however, non-Gaussian resources such as the photon number measurements or the cubic phase state are necessary. In superconducting circuits, DV quantum computation is dominant. Here, we propose and study the superconducting parametric cavity for optical quantum computation using microwave photons. At optical frequencies, the qumodes are often separated spatial modes. Here we use the orthogonal frequency modes of the cavity. Gaussian operations between the modes are achieved via standard parametric interactions. In addition, the recent realization of three-photon spontaneous parametric downconversion in this system provides access to both a non-Gaussian gate and resource state, which provides a path to universality. We will present preliminary results towards the development of the parametric cavity for optical quantum computation starting with demonstrations of simple algorithms. One such algorithm is a quantum machine learning algorithm called Quantum Kitchen Sinks.
3D oil reservoir model uncertainty: model-derived uncertainty or uncertainty ...Geovariances
Find out more about the importance of the model uncertainty quantification according to the reservoir study stage.
The presentation highlights the difference between the uncertainty quantification and the capacity of prediction of a model. Model uncertainty is due to various factors such as the lack of precise data, the use of imprecise data or the impossibility to conceive with certainty a conceptual model. Some of the factors can be accounted for (known source of uncertainty) and therefore be captured in a model, leading to classical uncertainty quantification. Other factors cannot be accounted for (unknown source of uncertainty), therefore limiting the capacity of prediction of the model.
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...Beniamino Murgante
Mapping the anthropic backfill of the historical center of Rome (Italy) by using Intrinsic Random Functions of order k (IRF-k)
Ciotoli Giancarlo, Francesco Stigliano, Fabrizio Marconi, Massimiliano Moscatelli, Marco Mancini, Gian Paolo Cavinato - Institute of Environmental Geology and Geo-engineering (I.G.A.G.), National Research Council, Italy
Model calibration or data inversion involves using experimental or field data to estimate the unknown parameters in a mathematical model. In the first part of the talk, I will present a review of a few approaches for model calibration or data inversion with the focus on model discrepancy and measurement bias. A few state-of-art methods, such as modeling the discrepancy by the Gaussian stochastic process (GaSP) or scaled Gaussian stochastic processes (S-GaSP), L2 calibration, Least squares (LS) calibration and orthogonal Gaussian process calibration, will be introduced. The connection and difference between these methods will be discussed. In the second part of talk, I will discuss our ongoing works on calibrating a geophysical model by integrating the different types of the field data, such as the interferometric synthetic aperture radar satellite (InSAR) interferograms, GPS data, velocities of tilt and lava lake from the Kilauea Volcano during the eruption in 2018. This task is complicated by the discrepancy between the model and reality different sample sizes and possible bias in field data. We introduce the scaled Gaussian stochastic process (S-GaSP), a new stochastic process to model the discrepancy function in calibration for the identifiability issue between the calibrated mathematical model and the discrepancy function. We also compare a few approaches to model the measurement bias in the data. A feasible way to fuse the field data from multiple sources will then be discussed. The calibration models are implemented in the "RobustCalibration" R Package on CRAN. The scientific goal of this work is to use data in May 2018 during the earthquake and the eruption of the Kilauea Volcano to resolve the location, volume, and pressure change in the Halema'uma'u Reservoir, as well as relating the results to the inferences from the past caldera collapses.
This presentation is an attempt to introduce Game Theory in one session. It's suitable for undergraduates. In practice, it's best used as a taster since only a portion of the material can be covered in an hour - topics can be chosen according to the interests of the class.
The main reference source used was 'Games, Theory and Applications' by L.C.Thomas. Further notes available at: http://bit.ly/nW6ULD
010 hotelling optimum exhaustion of a non renewable resourcePrabha Panth
In 1931, Hotelling showed how the rules that apply to the optimum extraction of a non renewable resource differ from that of a produced product, in perfect competition. Here the mine owner has to weigh the present price with the expected future price, if he wishes to conserve the resource.
Pre-computation for ABC in image analysisMatt Moores
MCMSki IV (the 5th IMS-ISBA joint meeting)
January 2014
Chamonix Mont-Blanc, France
The associated journal article has now been uploaded to arXiv: http://arxiv.org/abs/1403.4359
In the presence of relevant physical observations, one can usually calibrate a computer model, and even estimate systematic discrepancies of the model from reality. Estimating and quantifying the uncertainty in this model discrepancy can lead to reliable predictions - so long as the prediction "is similar to" the available physical observations. Exactly how to define "similar" has proven difficult in many applications. Clearly it depends on how well the computational model captures the relevant physics in the system, as well as how portable the model discrepancy is in going from the available physical data to the prediction. This talk will discuss these concepts using computational models ranging from simple to very complex.
Recent developments in the field of reduced order modeling - and in particular, active subspace construction - have made it possible to efficiently approximate complex models by constructing low-order response surfaces based upon a small subspace of the original high dimensional parameter space. These methods rely upon the fact that the response tends to vary more prominently in a few dominant directions defined by linear combinations of the original inputs, allowing for a rotation of the coordinate axis and a consequent transformation of the parameters. In this talk, we discuss a gradient free active subspace algorithm that is feasible for high dimensional parameter spaces where finite-difference techniques are impractical. We illustrate an initialized gradient-free active subspace algorithm for a neutronics example implemented with SCALE6.1.
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...Matt Moores
There are many approaches to Bayesian computation with intractable likelihoods, including the exchange algorithm, approximate Bayesian computation (ABC), thermodynamic integration, and composite likelihood. These approaches vary in accuracy as well as scalability for datasets of significant size. The Potts model is an example where such methods are required, due to its intractable normalising constant. This model is a type of Markov random field, which is commonly used for image segmentation. The dimension of its parameter space increases linearly with the number of pixels in the image, making this a challenging application for scalable Bayesian computation. My talk will introduce various algorithms in the context of the Potts model and describe their implementation in C++, using OpenMP for parallelism.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
1. FACULTY OF SCIENCE AND TECHNOLOGY
DEPARTMENT OF PHYSICS AND TECHNOLOGY
The Hotelling-Lawley Trace Statistic for
Change Detection in Polarimetric SAR Data
Under the Complex Wishart Distribution
Vahid Akbari
Stian N. Anfinsen
Anthony P. Doulgeris
IGARSS 2013
2. Overview
• Propose a new test statistic for change detection
• Polarimetric SAR
• MLC covariance Matrix Data
• Assume scaled complex Wishart distribution
• Hotelling-Lawley trace statistic
• Approximated by a Fisher-Snedecor distribution
• Demonstrated as a CFAR detector
• Compared to Conradsen’s Likelihood Ratio Test statistic
1 / 9
3. Theory
• Assume scaled complex Wishart distribution
C ∼ WC
d (L, Σ)
• Pixel-wise comparison between two images of C matrices
• “No-change” hyptothesis test
H0 : Σ1 = Σ2
• Hotelling-Lawley trace statistic
τHL = tr(C−1
1 C2)
• Matrix-variate equivalent to ratio imaging
2 / 9
4. Theory
• Two-sided test for both increasing and decreasing values
• Test both tr(C−1
1 C2) and tr(C−1
2 C1) at p = α/2
• Null hypothesis sampling distribution approximated by a
Fisher-Snedecor distribution FS(µ, ξ, ζ)
• FS parameters found by matching first three moments
m
(FS)
ν (µ, ξ, ζ) = m
(HL)
ν (L1, L2, d)
• ENL estimated for each image
3 / 9
5. Theory
• Compare to Conradsen’s Likelihood Ratio Test statistic
• Also known as the Bartlett distance
τLRT = τB = −2ρ log Q
Q =
|C1|L1|C2|L2
L1C1+L2C2
L1+L2
L1+L2
ρ = 1 −
2d2
− 1
6d
1
L1
+
1
L2
−
1
L1 + L2
• Sampling distribution is a sum of three χ-squared
distributions
4 / 9
6. Results - Simulated Pauli Images
12-Looks, Σs from real data, 3 changes
Brightness increase, decrease and polarimetric change
(a) test image 1 (b) test image 2
5 / 9
8. Results - Histograms
(a) test image 1 (b) test image 2
(e) pdf of ⌧HL (f) pdf of ⌧B (g) HL
Fig. 1. Comparison of HL test and Bartlett test with data sim7 / 9
9. Results - CFAR 1% change maps
(c) log(⌧HL) (d) log(⌧B)
(g) HL test detection result (h) Bartlett test detection result
with data simulated from the complex Wishart model.8 / 9
10. Conclusions
• Clearly different behaviour
• Detection accuracy: HL 97.9%, Bartlett 90.6%
• Error rate: HL 1.02%, Bartlett 1.40%
• Measured 1% FAR: HL 0.9%, Bartlett 1%
• Submitted to TGRS, in review
- H0 histogram fitting
- ROC curves show HL is superior
- Results for real images
9 / 9
