%0 Journal Article
%T SAR Image Despeckling Based on Local Translation-Rayleigh Distribution Model<br>基于局部平移瑞利分布模型的SAR图像相干斑抑制
%A Feng Hong-xiao
%A Jiao Li-cheng
%A Hou Biao
%A <br>凤宏晓
%A 焦李成
%A 侯彪
%J 电子与信息学报
%D 2010
%I 
%X Based on the statistical model in stationary wavelet domain, an algorithm of SAR image despeckling is developed. Firstly, nonlogarithmic additive model is applied to SAR image, and then a statistical distribution—Local Translation-Rayleigh Distribution Model (LTRDM) is proposed for the noise within nonlogarithmic additive model in the image domain. Finally, based on this model and in the stationary wavelet domain, the solution of real signal coefficients are given by using Maximum A Posteriori(MAP). Experiments show that local translation-Rayleigh distribution model is effective, and also indicate that a despeckling algorithm based on LTRDM proposed in this paper is robust, and possess high performance over many traditional algorithms.
%K SAR image despeckling
%K Local translation-Rayleigh distribution model
%K Nonlogarithmic additive model
%K Stationary wavelet transform
%K Maximum A Posteriori (MAP)<br>SAR图像抑斑
%K 局部平移瑞利分布
%K 非对数加性模型
%K 平稳小波变换
%K 最大后验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3ED19E849312767EA2170AC532ED25EB&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=E158A972A605785F&sid=F08C87DC7855E316&eid=90EAFEE49150CFCD&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=16