高贵编著的《SAR图像统计建模--模型及应用(精)》系统深入地论述了SAR图像统计建模的理论、模型以及应用，较全面地反映了本学科的新近科技成果。《SAR图像统计建模--模型及应用(精)》适用于遥感图像信息处理、雷达信号处理、图像判读专业的研究人员、工程技术人员、高等院校教师等阅读参考，亦可作为高等院校遥感信息处理等有关专业的博士或硕士研究生课程教材或参考用书。

高贵编著的《SAR图像统计建模--模型及应用(精)》系统深入地论述了SAR图像统计建模的理论、模型以及应用，以作者的科研工作为依托，较全面地反映了本学科的新近科技成果。本书内容涵盖传统单通道SAR图像的统计建模和多通道干涉、极化等新体制雷达图像的统计建模，并探讨了新模型在目标检测和地物分类等方面应用的算法。

全书共6章。第1章为sAR图像统计建模的综述；第2章介绍单通道sAR图像的统计建模；第3章为单通道SAR图像统计模型在目标检测和地物分类的应用；第4章为多通道干涉SAR的统计建模；第5章为多通道干涉SAR统计模型在动目标检测方面的应用；第6章介绍极化SAR图像的统计建模及目标检测方法。

《SAR图像统计建模--模型及应用(精)》适用于遥感图像信息处理、雷达信号处理、图像判读专业的研究人员、工程技术人员、高等院校教师等阅读参考，亦可作为高等院校遥感信息处理等有关专业的博士或硕士研究生课程教材或参考用书。

Chapter 1 Overview for Statistical Modeling of SAR Images

 1.1 Introduction

 1.2 Model Classification and Research Contents

 1.2. 1 Parameter estimation

 1.2.2 Goodness-of-fit tests

 1.3 Statistical models

 1.3.1 Nonparametrie models

 1.3.2 Parametric models

 1.4 Classification of parametric models

 1.4.1 The statistical models developed from the product model

 1.4. 2 The statistical models developed from the generalized

 central limit theorem

 1.4. 3 The empirical distributions

 1.4.4 Other models

 1.5 The Relationship Among The Major Models and Their

 Applications

 1.5.1 The relationship among the parametric statistical

 models

 1.5.2 Summary of the applications of the major models

 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. 1.1 The Proposed GTT_P Model

 2.1.2 Parameter Estimator of the GTT Model Based on MoLC ..

 2.1.3 Experimental Results

 2.1.4 Appendix 2-A. The Derivation of m-th order moments

 of the GTT Distribution

 2. 1.5 Appendix 2-B. Proof of the relationship between

 Distributions

 2. 2 An Empirical Distribution for Characterizing the Statistical

 Properties of SAR Clutter

 2. 2. 1 The Proposed Distribution

 2. 2. 2 The Parameter Estimators of The Proposed

 Distribution

 2.2.3 Experimental Results

 2. 2.5 Appendix 2-C. The Derivation of m-th Order Moments

 of the HG Distribution

 2. 2.6 Appendix 2-D. The Derivation of the Cumulative

 Distribution Function of HG

 2.3 An Improved Scheme for Parameter Estimation of g Distribution

 Model in High-Resolution SAR Images

 2. 3.1 The G Model

 2. 3.2 MoM Based Parameter Estimation

 2. 3.3 MT Based Parameter Estimation

 2. 3.4 Our Proposed Parameter Estimation

 2.3.5 Results and Discussion

 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

 3.1.1 Generalized Gamma Distribution and Its Estimation

Chapter 4 Statistical Modeling of Multi-Channel SAR Images

Chapter 5 Target Detection of Multi-Channel SAR Images

Chapter 6 Statistical Modeling and Target Detection of PolSAR Images