基于非局部的高分辨SAR图像去斑及分类方法研究

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1、分类号TP391学号14043067UDC密级公开工程硕士学位论文基于非局部的高分辨SAR图像去斑及分类方法研究硕士生姓名张云舒工程领域电子与通信工程研究方向遥感信息处理指导教师计科峰副教授国防科学技术大学研究生院二〇一六年十月ResearchontheMethodsofDespecklingandClassificationbasedonNon-LocalHighResolutionSARImageCandidate：ZhangYunshuAdvisor：JiKefengAthesisSubmittedinpartial

2、fulfillmentoftherequirementsfortheprofessionaldegreeofMasterofEngineeringinElectronicsandCommunicationEngineeringGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha，Hunan，P.R.ChinaOctober，2016国防科学技术大学研究生院工程硕士论文目录摘要........................................

3、.......................................................................................iABSTRACT.....................................................................................................................ii第一章绪论............................................

4、.................................................................11.1研究背景及意义..............................................................................................11.2研究现状与发展方向.................................................................................

5、.....21.2.1高分辨SAR发展现状及典型的高分辨SAR系统.............................21.2.2基于非局部的SAR图像去斑方法研究现状......................................31.2.3SAR图像分类方法研究现状................................................................71.3文章研究思路与章节安排.........................................

6、.....................................8第二章基于非局部PCA与权重核范数最小化联合的高分辨SAR图像去斑...132.1引言................................................................................................................132.2核范数最小化模型..........................................................

7、..............................142.2.1低秩矩阵近似模型..............................................................................142.2.2权重核范数最小化..............................................................................152.3算法流程.......................................

8、.................................................................182.4实验结果与分析...........................................................................