%0 Journal Article
%T A New Fast Adaptive Algorithm for Despeckling SAR Images<br>一种新的SAR图像快速自适应去斑算法
%A LI Ying-qi
%A HE Ming-yi
%A <br>李应岐
%A 何明一
%J 中国图象图形学报
%D 2008
%I 
%X A new adaptive contourlet transform-based technique for speckle removal from SAR images is presented.The distribution of the SAR image's contourlet coefficients is mainly decided by speckle noise and useful signals corrupted.The analytic model for these distributions is proposed.The shrinkage factor for de-specking is estimated with the neighboring reference contourlet coefficient in every sub bands.Finally,the comparison of performance of Lee filter,Froster filter,Gamma filter,wavelet-based de-speckling and contourlet transform-based de-speckling is provided for both simulated and actual SAR images.It shows that the contourlet methods strongly suppress speckle,while preserving image details and sharpness.
%K contourlet transform
%K SAR image
%K speckle
%K adaptive shrinkage estimator<br>Contourlet变换
%K 合成孔径雷达图像
%K 斑点
%K 自适应性收缩估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F5C141407E25BAC9271CC5A10558C064&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=0B39A22176CE99FB&sid=797D49279EA93BC4&eid=AD16A18DBD734D13&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11