%0 Journal Article
%T SAR image denoising based on nonsubsampled Ministry domain GCV<br>非下采样Contourlet域GCV准则SAR图像去噪*
%A YANG Xiao-hui
%A JIAO Li-cheng
%A <br>杨晓慧
%A 焦李成
%J 计算机应用研究
%D 2009
%I 
%X Firstly, decomposed synthetic aperture radar (SAR) image by the NSCT and statisticed the coefficients. And then established the generalized cross-validation (GCV) criterion in NSCT domain to obtain the multithresholds in each subbands of every decomposition leveles adaptively. The soft shrinkage was finally fufill the denoising. Finally, disscussed the influences to NSCT of decomposition levels and direction decomposition values. Experiments show that there are desiresresults both in terms of image visual fidelity and in terms of objective indexes.
%K SAR
%K image denoising
%K nonsubsampled Contourlet transform(NSCT)
%K generalized crossed validity (GCV)<br>合成孔径雷达
%K 图像去噪
%K 非下采样Contourlet变换
%K 广义交叉验证
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=20598C2FA530ACA8BBFF7C5E35FCF793&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=BC313C827ECD4E48&eid=AC3EDB9EE9017BD9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10