%0 Journal Article
%T Change detection of SAR images based on wavelet domain Fisher classifier<br>基于小波域Fisher分类器的SAR图像变化检测
%A XIN Fang-Fang
%A JIAO Li-Cheng
%A WANG Gui-Ting
%A WAN Hong-Lin
%A <br>辛芳芳
%A 焦李成
%A 王桂婷
%A 万红林
%J 红外与毫米波学报
%D 2011
%I Science Press
%X Abstract: This paper proposes an unsupervised technique for change detection area between two SAR images. The detection process is based on distribution property of the joint intensity histograms and need not distribution hypothesis. The algorithm uses adaptive edge detection to get training data. The joint intensity histograms in different levels are used to decide the membership degree of unlabeled points through Fisher classifier. The fusion model which considers the context relationship and inter-scale information improves the insensitivity. The simulation results of two real SAR images show that the algorithm is effective and has better detection results.
%K SAR images
%K change detection
%K Fisher classifier
%K wavelet transform<br>SAR图像
%K 变化检测
%K Fisher分类器
%K 小波变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=94E749E0CD23397674B9251A866A7EA0&yid=9377ED8094509821&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=DABEF202280E7EF1&eid=4609832E4B5C797B&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=0