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SAR图像统计建模:模型及应用 - 高贵等
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Chapter 4 Statistical Modeling of Multi-Channel SAR Images
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2024-04-30 07:49:54
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国防科技图书出版基金第七届评审委员会组成人员
Foreword
Chapter 1 Overview for Statistical Modeling of SAR Images
1.1 Introduction
1.2 Model Classification and Research Contents
1.3 Statistical models
1.4 Classification of parametric models
1.5 The Relationship Among The Major Models and Their Applications
1.6 Discussion of Future Work
1.7 Conclusions
References
Chapter 2 Statistical Modeling of Single-Channel SAR Images
2.1 Modeling SAR Images Based on A Generalized Gamma Distribution for Texture Component
2.2 An Empirical Distribution for Characterizing the Statistical Properties of SAR Clutter
2.3 An Improved Scheme for Parameter Estimation of G0 Distribution Model in High-Resolution SAR Images
2.4 Conclusions
References
Chapter 3 Target Detection and Terrain Classification of Single-Channel SAR Images
3.1 A CFAR Detection Algorithm for Generalized Gamma Distributed Background in High-Resolution SAR Images
3.2 A Parzen Window Kernel Based CFAR Algorithm for Ship Detection in SAR Images
3.3 A Markovian classification method for urban areas in High-resolution SAR images
3.4 Conclusion
References
Chapter 4 Statistical Modeling of Multi-Channel SAR Images
4.1 Introduction
4.2 Normalized Interferogram
4.3 The Joint Distribution
4.4 The Proposed Distribution for Interferogram's Magnitude of Homogenous Clutter
4.5 Statistics of Multilook SAR Interferogram for In-homogeneous Clutter Based on ΓIn
References
Chapter 5 Target Detection of Multi-Channel SAR Images
5.1 Introduction
5.2 The IMP Metric
5.3 Statistical Distribution Model of IMP Metric
5.4 CFAR Detection
5.5 Conclusion
References
Chapter 6 Statistical Modeling and Target Detection of PolSAR Images
6.1 Introduction
6.2 Multiplicative Model for Covariance Matrix
6.3 Statistical Modeling of PolSAR Images with Generalized Gamma Distribution for Backscatter
6.4 Experimental Results and Discussions
6.5 Ship Detection in High-Resolution Dual Polarization SAR Amplitude Images
References
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