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合成孔径雷达图像目标识别

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作者刘明

出版社电子工业出版社

ISBN9787121476297

出版时间2022-12

装帧其他

定价98元

货号3672013

上书时间2024-06-12

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品相描述：全新

商品描述: 【书    名】合成孔径雷达图像目标识别
【书    号】 9787121476297
【出版社】电子工业出版社
【作    者】刘明
【出版日期】 2024-04-01
【定    价】 98.00元

【内容简介】
本书共计11章，第1章对合成孔径雷达（SAR）目标识别进行了概述；第2章介绍了基于局部保持特性和混合高斯分布的SAR目标识别；第3章介绍了基于局部保持特性和Gamma分布的SAR目标识别；第4章介绍了基于结构保持投影的SAR目标识别；第5章介绍了基于类别稀疏表示的SAR目标识别；第6章介绍了基于乘性稀疏表示和Gamma分布的SAR目标识别；第7章介绍了基于判别统计字典学习的SAR目标识别；第8章介绍了于Dempster-Shafer证据理论融合多稀疏描述和样本统计特性的SAR目标识别；第9章介绍了基于Dempster-Shafer证据理论和稀疏表示的SAR目标识别；第10章介绍了基于两阶段稀疏结构表示的SAR目标识别；第11章探讨了未来合成孔径雷达目标识别可能的发展方向。

【目录】
第1 章绪论························································································1

1.1 研究背景及研究意义··································································1

1.2 国内外研究现状········································································3

1.3 本书内容介绍········································································.10

第2 章基于局部保持特性和混合高斯分布的SAR 图像目标识别··················.14

2.1 算法概述··············································································.14

2.2 局部保持投影算法··································································.15

2.3 基于LPP-GMD 算法的SAR 图像目标识别···································.16

2.3.1 基于混合高斯分布的似然函数建模····································.17

2.3.2 基于局部保持特性的先验函数建模····································.17

2.3.3 参数估计·····································································.18

2.4 试验结果与分析·····································································.22

2.5 本章小结··············································································.26

第3 章基于局部保持特性和Gamma 分布的SAR 图像目标识别··················.27

3.1 算法概述··············································································.27

3.2 SAR 图像的乘性相干斑模型······················································.28

3.3 基于LPP-Gamma 算法的SAR 图像目标识别·································.29

3.3.1 基于Gamma 分布构建似然函数········································.29

3.3.2 基于局部保持特性构建先验函数·······································.30

3.3.3 参数估计·····································································.33

3.4 试验结果与分析·····································································.37

3.4.1 SAR 图像目标识别结果··················································.37

3.4.2 修正相似度矩阵的有效性验证··········································.39

3.5 本章小结··············································································.41

第4 章基于结构保持投影的SAR 图像目标识别·······································.42

4.1 算法概述··············································································.42

4.2 基于CDSPP 算法的SAR 图像目标识别·······································.43

4.2.1 CDSPP 算法·································································.43

4.2.2 差异度矩阵分析····························································.45

4.3 试验结果与分析·····································································.49

4.3.1 目标的类别识别····························································.51

4.3.2 目标的型号识别····························································.53

4.3.3 构建差异度矩阵的优势···················································.57

4.4 本章小结··············································································.59

第5 章基于类别稀疏表示的SAR 图像目标识别·······································.60

5.1 算法概述··············································································.60

5.2 SAR 图像的稀疏表示模型·························································.61

5.3 SAR 图像的类别稀疏表示模型···················································.62

5.3.1 方位角敏感特性····························································.62

5.3.2 测试样本建模·······························································.64

5.3.3 稀疏向量求解·······························································.66

5.4 基于LSR 算法的SAR 图像目标识别···········································.67

5.5 试验结果与分析·····································································.70

5.5.1 目标的类别识别····························································.70

5.5.2 目标的型号识别····························································.72

5.6 本章小结··············································································.76

第6 章基于乘性稀疏表示和Gamma 分布的SAR 图像目标识别··················.77

6.1 算法概述··············································································.77

6.2 乘性稀疏表示算法··································································.78

6.3 试验结果与分析·····································································.80

6.3.1 目标的类别识别····························································.81

6.3.2 目标的型号识别····························································.82

6.4 本章小结··············································································.88

第7 章基于判别统计字典学习的SAR 图像目标识别·································.89

7.1

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