%0 Journal Article
%T SAR Image Denoising Based on Significant Estimation of Noise Variance of Complex Wavelet Coefficients<br>基于复小波噪声方差显著修正的SAR图像去噪
%A SHI Han-qin
%A ZHANG Da-ming
%A LUO Bin
%A <br>施汉琴
%A 张大明
%A 罗斌
%J 遥感技术与应用
%D 2008
%I 
%X We proposed an algorithm of SAR speckle denoising method based on combination of statistic model of complex wavelet coefficients and significant estimation of noise variance.This method first employs a logarithmic transformation to change the multiplicative speckle into additive noise,then logarithmic image is processed by Dual-Tree Complex Wavelet Transform,and the model,which is based on statistical distribution for the complex wavelet coefficients of SAR image,is set up.Under such prior distribution,Maximum A Posteriori(MAP) estimator is used to restore the wavelet coefficients from the noisy observations to achieve the goal of filtering noise.Experiment results show that the method can remove the noise while preserving significant image details and obtain the good performance.
%K Statistical&nbspzz
%K modelzz
%K Synthetic&nbspzz
%K aperture&nbspzz
%K radarzz
%K Dualtree&nbspzz
%K complex&nbspzz
%K wavelet transformzz
%K Bayesian&nbspzz
%K estimationzz<br>统计模型
%K 合成孔径雷达
%K 双树复小波变换
%K 贝叶斯估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=0C57C15697F345E66AFC749BE0BE438A&yid=67289AFF6305E306&vid=EA389574707BDED3&iid=94C357A881DFC066&sid=B4F9D541F855CF96&eid=2497388423811B81&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=2&reference_num=7