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基于最大后验和非局域约束的非下采样轮廓波变换域SAR图像去噪方法
引用本文:岳春宇,江万寿. 基于最大后验和非局域约束的非下采样轮廓波变换域SAR图像去噪方法[J]. 测绘学报, 2012, 41(1): 59-0
作者姓名:岳春宇  江万寿
作者单位:1. 武汉大学;2. 武汉大学测绘遥感信息工程国家重点实验室;
基金项目:国家863计划,国家973计划,国家自然科学基金
摘    要:本文提出了一种基于最大后验和非局域约束的非下采样轮廓波变换域SAR图像去噪方法。根据SAR图像数据的特征,引入了非对数加性模型,并在该模型下对SAR图像NSCT域中的噪声分布统计建模,应用最大后验(MAP)准则和Non-Local(NL)约束相结合的方法解求SAR图像真实信号的NSCT系数。实验结果表明,本方法具有良好的去噪能力并在性能上优于当前主流方法。

关 键 词:SAR图像去噪  非对数加性模型  非下采样轮廓波  最大后验  非局域
收稿时间:2011-04-11
修稿时间:2011-05-23

An Algorithm of SAR Image Denoising in Nonsubsampled Contourlet Transform Domain Based on Maximum A Posteriori and Non-local Restriction
YUE Chunyu,JIANG Wanshou. An Algorithm of SAR Image Denoising in Nonsubsampled Contourlet Transform Domain Based on Maximum A Posteriori and Non-local Restriction[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(1): 59-0
Authors:YUE Chunyu  JIANG Wanshou
Affiliation:State Key Laboratory of In formation Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China
Abstract:An algorithm of SAR image denoising in nonsubsampled contourlet transform(NSCT) domain based on maximum a posteriori(MAP) and non-local(NL) restriction is proposed.Firstly a nonlogarithmic additive model is applied to the SAR image data,and then the statistical distribution of the noise within the nonlogarithmic additive model in the SAR image is modeled in the NSCT domain.MAP and NL restriction are used to get the NSCT coefficients of the real signal.Experiments show that the algorithm proposed is effective in SAR image denoising,and also possess high performance over many traditional algorithms.
Keywords:SAR image denoising  nonlogarithmic additive model  nonsubsampled contourlet transform(NSCT)  maximum a posteriori(MAP)  non-local(NL)
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