SAR图像统计建模：模型及应用

定　　价：37.5 元

• 作者：高贵　等编著
• 出版时间：2013/8/1
• ISBN：9787118089455
• 出 版 社：国防工业出版社

• 中图法分类：TN957.52  
• 页码：185
• 纸张：胶版纸
• 版次：1
• 开本：16开

内容简介

　　1·在国防科学技术领域中，学术水平高，内容有创见，在学科上居领先地位的基础科学理论图书；在工程技术理论方面有突破的应用科学专著。
　　2·学术思想新颖，内容具体、实用，对国防科技和武器装备发展具有较大推动作用的专著；密切结合国防现代化和武器装备现代化需要的高新技术内容的专著。
　　3·有重要发展前景和有重大开拓使用价值，密切结合国防现代化和武器装备现代化需要的新工艺、新材料内容的专著。
　　4·填补目前我国科技领域空白并具有军事应用前景的薄弱学科和边缘学科技图书。

目 录

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 Nonparametric 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 centrallimit theorem
1．4．3 The empirical distributions
1．4．4 Other models
1．5 The Relationship Among The Major Models and TheirApplications
1．5．1 The relationship among the parametric statisticalmodels

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 Nonparametric 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 centrallimit theorem
1．4．3 The empirical distributions
1．4．4 Other models
1．5 The Relationship Among The Major Models and TheirApplications
1．5．1 The relationship among the parametric statisticalmodels
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 SAIl IInages
2．1 Modeling SAR Images Based on A Generalized Gamma Distributionfor Texture Component
2．1．1 The Proposed GFFodel
2．1．2 Parameter Estimator of the GFF Model Based on MoLC
2．1．3 ExperimentaI Results
2．1．4 Appendix 2-A．The Derivation of m-th order moments of theDistribution
2．1．5 Appendix 2-B．Proof of the relationship betweenDistributions
2．2 An Empirical Distribution for Characterizing the StatisticalProperties of SAR Clutter
2．2．1 The Proposed Distribution
2．2．2 The Parameter Estimators of The Proposed Distribution
2．2．3 Experimental Results
……
Chapter 4 Statistical Modeling of Multi-Channel SAR images
Chapter 5 Target Detwction Multi-Channel SAR Images
Chapter 6 Statistical Modeling and Target Detwction of PolSARImages