引入规范化圆极化相关系数的保持极化散射特性的分类算法

基金项目: 国家自然科学基金资助项目(60890074);;国家863计划资助项目(2011AA120404,2009AA12Z145);;中央高校基本科研业务费专项资金资助项目(201161902020003,2012619020213)

详细信息

Preserving Polarimetric Scattering Characteristics Classification by Introducing Normalized Circular-pol Correlation Coefficient

¹ State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(60890074);;国家863计划资助项目(2011AA120404,2009AA12Z145);;中央高校基本科研业务费专项资金资助项目(201161902020003,2012619020213)

摘要: 极化SAR三分量分解中,和SAR视线不垂直的人工建筑物常被分为体散射类型,进而引起建筑物和森林的误分类。针对此不足,利用此类建筑物的反射非对称性,提出了一种引入规范化圆极化相关系数(NC-CC)的保持极化散射特性的分类算法。实验结果表明,本文提出的方法能够将与SAR视线不垂直的人工建筑物从体散射类型中分离出来。
- 极化SAR(PolSAR) /
- 三分量分解 /
- 规范化圆极化相关系数(NCCC) /
- 非监督分类
Abstract: Buildings being not orthogonal to the light of sight of SAR are often marked as volume scattering in the three-component decomposition.A new unsupervised classification algorithm is proposed by introducing normalized circular-pol correlation coefficient,which can improve the discernment of non-reflection symmetric structure on the basis of three-component decomposition.The experiment using E-SAR L band PolSAR image around DLR proves the effectiveness of the proposed method.