Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models

[1]  Sebastiano B. Serpico,et al.  Partially supervised classification of remote sensing images using SVM-based probability density estimation , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

[2]  Jian Yang,et al.  Robust CFAR Detector Based on Truncated Statistics for Polarimetric Synthetic Aperture Radar , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Gérard Govaert,et al.  Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[5]  K. Ward.  Compound representation of high resolution sea clutter , 1980 .

[6]  C J Oliver,et al.  Correlated K-distributed Clutter Models , 1985 .

[7]  S. F. George.  THE DETECTION OF NONFLUCTUATING TARGETS IN LOG-NORMAL CLUTTER , 1968 .

[8]  E. Jakeman,et al.  Statistics of Integrated Gamma-lorentzian Intensity Fluctuations , 1980 .

[9]  Yasser Maghsoudi,et al.  Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Paolo Dario,et al.  Unsupervised Greedy Learning of Finite Mixture Models , 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

[11]  Lorenzo Bruzzone,et al.  An advanced system for the automatic classification of multitemporal SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Torbjørn Eltoft,et al.  The Rician inverse Gaussian distribution: a new model for non-Rayleigh signal amplitude statistics , 2005, IEEE Transactions on Image Processing.

[13]  Dongxiao Zhu,et al.  Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models , 2009, 2009 International Conference on Machine Learning and Applications.

[14]  Angelika Mueller,et al.  Principles Of Random Walk , 2016 .

[15]  Shuiping Gou,et al.  Quantum Immune Fast Spectral Clustering for SAR Image Segmentation , 2012, IEEE Geoscience and Remote Sensing Letters.

[16]  Shuiping Gou,et al.  SAR image segmentation using quantum clonal selection clustering , 2009, 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar.

[17]  Nizar Bouhlel,et al.  Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Torbjørn Eltoft,et al.  Goodness-of-Fit Tests for Multilook Polarimetric Radar Data Based on the Mellin Transform , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Evgueni A. Haroutunian,et al.  Information Theory and Statistics , 2011, International Encyclopedia of Statistical Science.

[20]  Anil K. Jain,et al.  Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Alain Dussauchoy,et al.  Parameter estimation of the generalized gamma distribution , 2008, Math. Comput. Simul..

[22]  Corina da Costa Freitas,et al.  Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means , 2013, Pattern Recognit..

[23]  Carlos López-Martínez,et al.  A Physical Analysis of Polarimetric SAR Data Statistical Models , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[24]  S. Lloyd.  Enhanced Sensitivity of Photodetection via Quantum Illumination , 2008, Science.

[25]  Michael J. Collins,et al.  Modeling and Simulation of SAR Image Texture , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Sheng-Zhi Zhao.  Quantum detection theory and optimum strategy in quantum radar system , 2019 .

[27]  Sidnei J. S. Sant'Anna,et al.  Classification of Segments in PolSAR Imagery by Minimum Stochastic Distances Between Wishart Distributions , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[28]  S. Rice.  Mathematical analysis of random noise , 1944 .

[29]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[30]  Fawwaz T. Ulaby,et al.  Fluctuation statistics of millimeter-wave scattering from distributed targets , 1988 .

[31]  Joseph A. O'Sullivan,et al.  Statistical assessment of model fit for synthetic aperture radar data , 2001, SPIE Defense + Commercial Sensing.

[32]  Stephane Meric,et al.  Multilook Polarimetric SAR Change Detection Using Stochastic Distances Between Matrix-Variate Gd0 Distributions , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Nizar Bouguila,et al.  High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Zhimin Zhang,et al.  First Bistatic Demonstration of Digital Beamforming in Elevation With TerraSAR-X as an Illuminator , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[35]  D. Blacknell,et al.  High resolution SAR clutter textural analysis , 1995 .

[36]  Nizar Bouguila,et al.  Count Data Modeling and Classification Using Finite Mixtures of Distributions , 2011, IEEE Transactions on Neural Networks.

[37]  D. Blacknell.  Target detection in correlated SAR clutter , 2000 .

[38]  C J Oliver,et al.  On the Simulation of Correlated K-distributed Random Clutter , 1986 .

[39]  Gabriele Moser,et al.  Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data , 2011, IEEE Geoscience and Remote Sensing Letters.

[40]  Gabriele Moser,et al.  Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Joseph A. O'Sullivan,et al.  Quantitative statistical assessment of conditional models for synthetic aperture radar , 2004, IEEE Transactions on Image Processing.

[42]  B. Jørgensen.  Statistical Properties of the Generalized Inverse Gaussian Distribution , 1981 .

[43]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[44]  Matsuo Sekine,et al.  On Weibull-Distributed Weather Clutter , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[45]  E. Stacy.  A Generalization of the Gamma Distribution , 1962 .

[46]  C. L. Nikias,et al.  Signal processing with alpha-stable distributions and applications , 1995 .

[47]  Vishal M. Patel,et al.  SAR Image Despeckling Using a Convolutional Neural Network , 2017, IEEE Signal Processing Letters.

[48]  K. Ward,et al.  Sea clutter: Scattering, the K distribution and radar performance , 2007 .

[49]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[50]  Ding Tao,et al.  A Segmentation-Based CFAR Detection Algorithm Using Truncated Statistics , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[51]  Yangyang Li,et al.  SAR image segmentation based on quantum-inspired multiobjective evolutionary clustering algorithm , 2014, Inf. Process. Lett..

[52]  K.A. Michalski,et al.  Electromagnetic wave theory , 1987, Proceedings of the IEEE.

[53]  Zhenfang Li,et al.  Performance improvement for constellation SAR using signal processing techniques , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[54]  Maria T. Rey,et al.  Ship detection in RADARSAT SAR imagery , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[55]  Ze Yu,et al.  Review and forecast of quantum radar , 2013, Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[56]  E. Parzen.  On Estimation of a Probability Density Function and Mode , 1962 .

[57]  C. Oliver.  The interpretation and simulation of clutter textures in coherent images , 1986 .

[58]  佐藤 晃一,et al.  Polarimetric SAR Interferometryによる森林の特徴について , 2000 .

[59]  Carlos López-Martínez,et al.  Higher Order Statistics for Texture Analysis and Physical Interpretation of Polarimetric SAR Data , 2016, IEEE Geoscience and Remote Sensing Letters.

[60]  Abdelwaheb Marzouki,et al.  Estimation of generalized mixtures and its application in image segmentation , 1997, IEEE Trans. Image Process..

[61]  Wojciech Pieczynski,et al.  Modeling non-Rayleigh speckle distribution in SAR images , 2002, IEEE Trans. Geosci. Remote. Sens..

[62]  E Jakeman,et al.  K-Distributed Noise , 1999 .

[63]  M Tur,et al.  When is speckle noise multiplicative? , 1982, Applied optics.

[64]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

[65]  Gabriele Moser,et al.  SAR amplitude probability density function estimation based on a generalized Gaussian model , 2006, IEEE Transactions on Image Processing.

[66]  Chonghua Fang.  The Simulation and Analysis of Quantum Radar Cross Section for Three-Dimensional Convex Targets , 2018, IEEE Photonics Journal.

[67]  Zhenhong Du,et al.  A New Method for Ship Detection in SAR Imagery Based on Combinatorial PNN Model , 2008, 2008 First International Conference on Intelligent Networks and Intelligent Systems.

[68]  Corina da Costa Freitas,et al.  A model for extremely heterogeneous clutter , 1997, IEEE Trans. Geosci. Remote. Sens..

[69]  Xiaoshuang Ma,et al.  Learning a Dilated Residual Network for SAR Image Despeckling , 2017, Remote. Sens..

[70]  Irena Hajnsek,et al.  Statistical Tests for a Ship Detector Based on the Polarimetric Notch Filter , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[71]  N. L. Johnson,et al.  Distributions in Statistics: Discrete Distributions. , 1970 .

[72]  Davide Cozzolino,et al.  SAR image despeckling through convolutional neural networks , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[73]  D. Schleher,et al.  Radar Detection in Weibull Clutter , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[74]  Thomas L. Ainsworth,et al.  Polarimetric SAR Speckle Filtering and the Extended Sigma Filter , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[75]  Lei Shi,et al.  Polarimetric SAR Image Segmentation Using Statistical Region Merging , 2014, IEEE Geoscience and Remote Sensing Letters.

[76]  Zhimin Zhang,et al.  A Synchronization Algorithm for Spaceborne/Stationary BiSAR Imaging Based on Contrast Optimization With Direct Signal From Radar Satellite , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[77]  Heng Zhang,et al.  Spaceborne/Stationary Bistatic SAR Imaging With TerraSAR-X as an Illuminator in Staring-Spotlight Mode , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[78]  Gabriele Moser,et al.  Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[79]  H.-J. Muller,et al.  G-statistics for scaled SAR data , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[80]  Jean-Yves Tourneret,et al.  A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors , 2015, IEEE Transactions on Image Processing.

[81]  Leon M. Hall,et al.  Special Functions , 1998 .

[82]  Kamal Sarabandi,et al.  Microwave Radar and Radiometric Remote Sensing , 2013 .

[83]  Heng Zhang,et al.  An Advanced Non-Interrupted Synchronization Scheme for Bistatic Synthetic Aperture Radar , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

[84]  J. Weston,et al.  Support vector density estimation , 1999 .

[85]  Henri Maître,et al.  A new statistical model for Markovian classification of urban areas in high-resolution SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[86]  J. Goodman.  Statistical Properties of Laser Speckle Patterns , 1963 .

[87]  Gabriele Moser,et al.  On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation , 2013, IEEE Transactions on Image Processing.

[88]  E. Jakeman,et al.  Generalized K distribution: a statistical model for weak scattering , 1987 .

[89]  Carlos López-Martínez,et al.  Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges , 2017, Remote. Sens..

[90]  Gui-Song Xia,et al.  Region-Based Change Detection for Polarimetric SAR Images Using Wishart Mixture Models , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[91]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .

[92]  E. Jakeman,et al.  A model for non-Rayleigh sea echo , 1976 .

[93]  H. Saunders,et al.  Probability, Random Variables and Stochastic Processes (2nd Edition) , 1989 .

[94]  Christopher J. Oliver,et al.  High-resolution SAR clutter textural analysis and simulation , 1995, Remote Sensing.

[95]  Gui Gao,et al.  Statistical Modeling of SAR Images: A Survey , 2010, Sensors.

[96]  Dong-Xiao Yue,et al.  SAR despeckling neural network with logarithmic convolutional product model , 2018, International Journal of Remote Sensing.

[97]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[98]  H. Arsenault,et al.  Properties of speckle integrated with a finite aperture and logarithmically transformed , 1976 .

[99]  Si-Wei Chen,et al.  PolSAR Image Classification Using Polarimetric-Feature-Driven Deep Convolutional Neural Network , 2018, IEEE Geoscience and Remote Sensing Letters.

[100]  G. Lampropoulos,et al.  High resolution radar clutter statistics , 1999 .

[101]  George A. Lampropoulos,et al.  A generalized compound model for radar clutter , 1994, Proceedings of 1994 IEEE National Radar Conference.

[102]  C. Oliver.  A Model for Non-Rayleigh Scattering Statistics , 1984 .

[103]  Ganchao Liu,et al.  Robust Polarimetric SAR Despeckling Based on Nonlocal Means and Distributed Lee Filter , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[104]  Filippo Biondi,et al.  Multi-chromatic analysis polarimetric interferometric synthetic aperture radar (MCA-PolInSAR) for urban classification , 2018, International Journal of Remote Sensing.

[105]  Josiane Zerubia,et al.  Modeling SAR images with a generalization of the Rayleigh distribution , 2004, IEEE Transactions on Image Processing.

[106]  Juliana Gambini,et al.  Polarimetric SAR image segmentation with B-splines and a new statistical model , 2010, Multidimens. Syst. Signal Process..

[107]  G. Trunk.  Radar Properties of Non-Rayleigh Sea Clutter , 1972, IEEE Transactions on Aerospace and Electronic Systems.

[108]  Dong-Xiao Yue,et al.  A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[109]  Renato J. Cintra,et al.  Entropy-Based Statistical Analysis of PolSAR Data , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[110]  Alejandro C. Frery,et al.  Detecting Changes in Fully Polarimetric SAR Imagery With Statistical Information Theory , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[111]  E. Jakeman.  On the statistics of K-distributed noise , 1980 .

[112]  T. Musha,et al.  Weibull-Distributed Ground Clutter , 1981, IEEE Transactions on Aerospace and Electronic Systems.

[113]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[114]  Alfonso Farina,et al.  Coherent radar detection in log-normal clutter , 1986 .

[115]  Mihai Datcu,et al.  Special focus on deep learning in remote sensing image processing , 2020, Science China Information Sciences.

[116]  D. Blacknell.  Mixture distribution model for correlated SAR clutter , 1996, Remote Sensing.

[117]  David A. Landgrebe,et al.  Signal Theory Methods in Multispectral Remote Sensing , 2003 .

[118]  George A. Lampropoulos,et al.  High resolution radar clutter classification , 1995, Proceedings International Radar Conference.

[119]  Wen Hong,et al.  An Efficient and Flexible Statistical Model Based on Generalized Gamma Distribution for Amplitude SAR Images , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[120]  Qiang Fu,et al.  Analysis of Quantum Radar Cross Section and Its Influence on Target Detection Performance , 2014, IEEE Photonics Technology Letters.