%0 Journal Article
%T Multi-look Polarimetric SAR Speckle Filtering Based on Unsupervised Classification<br>基于无监督分类的多视极化SAR相干斑滤波
%A Sun Nan
%A Wang Yan-fei
%A Zhang Bing-chen
%A <br>孙楠
%A 王岩飞
%A 张冰尘
%J 电子与信息学报
%D 2008
%I 
%X The presence of speckle is a major cause of degradation in SAR images. The Multilook Polarimetric Whitening Filter (MPWF) is an effective method on speckle reduction in multilook polarimetric Synthetic Aperture Radar (SAR) images. However, the capability of the filter is directly decided with the precision of the filter-parameter estimation. Hence, a novel adaptive windowing algorithm based on unsupervised classification is proposed here, where the classified image is chosen as the processed object and the central pixel in moving rectangular window is as the reference. Then through automatic search, the pixels around the central pixel which are in the same class are selected and used for parameter estimation. Compared to some other typical methods, this approach is demonstrated the effectiveness both on speckle reduction and preservation of texture information from the experimental results.
%K Multilook polarimetric SAR
%K Speckle
%K Multilook Polarimetric Whitening Filter (MPWF)
%K Unsupervised classification<br>多视极化SAR
%K 相干斑
%K 多视极化白化滤波器(MPWF)
%K 无监督分类
%K 无监督分类
%K 多视极化
%K 相干斑滤波
%K Classification
%K Based
%K Filtering
%K 保持能力
%K 纹理信息
%K 结果
%K 实验
%K 搜索
%K 自动
%K 参照物
%K 像素
%K 以中心
%K 矩形窗
%K 滑动
%K 对象
%K 图像降噪
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=40F5376795FE31503EF40F988E408446&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=1D67BE204FBF4800&eid=E089FDF3CDAE8561&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=15