技术教育社区
www.teccses.org

合成孔径雷达图像目标识别

封面

作者:刘明

页数:172

出版社:电子工业出版社

出版日期:2024

ISBN:9787121476297

电子书格式:pdf/epub/txt

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。

作者简介

刘明,工学博士,副教授,硕士生导师。2009年获西安电子科技大学信息对抗技术专业工学学士学位,2015年获西安电子科技大学模式识别与智能系统专业工学博士学位。2019年-2020年为加拿大McMaster University访学学者。主要研究方向为:目标检测与目标识别。入选陕西省科协青年人才托举计划,获国际无线电科学联盟(URSI)”青年科学家”奖,获陕西省计算机学会”计算机领域优秀青年专家”称号。主持和参与了包括国家自然科学基金、国家重大基础研究计划、装备预先研究、陕西省自然科学基金等10余项国家级和省部级科研项目。发表学术论文60余篇,授权国家发明专利10项(部分已转化)。

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···················································

下载地址

立即下载

(解压密码:www.teccses.org)

Article Title:《合成孔径雷达图像目标识别》
Article link:https://www.teccses.org/1578254.html