%0 Journal Article
%T Maximum a posteriori filtering for synthetic aperture radar images based on heavy-tailed Rayleigh distribution of speckle<br>基于斑点噪声的拖尾Rayleigh分布的合成孔径雷达图像最大后验概率降噪
%A Sun Zeng-Guo
%A Han Chong-Zhao
%A <br>孙增国
%A 韩崇昭
%J 物理学报
%D 2007
%I 
%X In order to reflect the statistics of high peak and heavy tail,speckle in synthetic aperture radar images is modeled as heavy-tailed Rayleigh distribution.First,based on Gamma prior distribution and heavy-tailed Rayleigh distribution of speckle,the maximum a posteriori filtering equation is proposed and its analytical form is provided in given characteristic parameter.Second,parameters of heavy-tailed Rayleigh distribution are estimated from the observed image using Mellin transformation.Last,maximum a posteriori de-speckling experiments and their quantitative measures are given.In order to eliminate the influence of window size and noise intensity on de-speckling results,dynamic relations of the de-speckling capability to noise variance and window size are suggested respectively.Results demonstrate that the heavy-tailed Rayleigh distribution accords with the real statistics of speckle,so the maximum a posteriori filter in heavy-tailed Rayleigh distribution of speckle has higher capability of noise reduction compared to the one in Rayleigh distribution of speckle and the Kuan filter.
%K speckle
%K heavy-tailed Rayleigh distribution
%K maximum a posteriori filtering
%K Mellin transformation<br>斑点噪声
%K 拖尾Rayleigh分布
%K 最大后验概率降噪
%K Mellin变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=FBAC78492FE6C407&yid=A732AF04DDA03BB3&vid=014B591DF029732F&iid=5D311CA918CA9A03&sid=76262B71CF8D2925&eid=9157956928CB1D41&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=11