中国科学院研究生院学报2013，Vol.30Issue(1)：60-67,8.DOI:10.7523/j.issn.1002-1175.2013.01.010
一种新型的空域极化SAR数据相干斑滤波方法
A new spatial speckle reduction method for polarimetric SAR data
摘要
Abstract
In order to effectively reduce the speckle of PolSAR data, a new algorithm is proposed combing the improved sigma filter with unsupervised Wishart classification based on Freeman-Durden decomposition. Pixels within the sigma range and also in the same scattering category are selected and used to estimate the central pixel. The experiment results show that the proposed algorithm excels in both the suppression of the speckle and the preservation of the edges and texture details and that it can protect the scattering characteristics of targets.关键词
极化SAR/相干斑抑制/Sigma滤波/散射特性/无监督分类Key words
polarimetric synthetic aperture radar ( PolSAR )/ speckle reduction/ sigma filter/ scattering characteristics/ unsupervised classification分类
信息技术与安全科学引用本文复制引用
张静怡,雷斌,刘团结..一种新型的空域极化SAR数据相干斑滤波方法[J].中国科学院研究生院学报,2013,30(1):60-67,8.基金项目
国家重大科技基础设施建设项目(CARSS/HK-C)资助 （CARSS/HK-C）
