%0 Journal Article
%T CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION<br>多视极化合成孔径雷达图象的分类和极化通道优化
%A Liu Guoqing
%A Xiong Hong
%A Huang Shunji
%A A Torre
%A F Rubertone
%A <br>刘国庆
%A 熊红
%A 黄顺吉
%A A.Torre
%A F.Rubertone
%J 电子与信息学报
%D 1998
%I 
%X In this paper, a new maximum likelihood (ML) classification algorithm is proposed to classify the multi-look polarimetric synthetic aperture radar (SAR) imagery. Experimental results with the NASA/JPL airborne L-band 4-look polarimetric SAR data demonstrate the effectiveness of the new algorithm. Furthermore, when using the algorithm in the classifications with subsets of the multi-look polarimetric SAR data, the polarization-channel optimization for the terrain type classification is implemented.
%K Polarimetric SAR
%K Multi-look processing
%K Speckle
%K Classification
%K Polarization-channel optimization<br>极化合成孔径雷达
%K 多视处理
%K 相干斑
%K 分类
%K 极化通道优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1F6EE2DFBD330ABD1295BE72381C4FC2&yid=8CAA3A429E3EA654&vid=A04140E723CB732E&iid=CA4FD0336C81A37A&sid=014B591DF029732F&eid=1D0FA33DA02ABACD&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8