SAR图像非平稳性对图像模型和滤波降噪方法的影响  

Influence of Nonstationarity on SAR Imagery Models and De-Speckling Filters

作　　者：马作民[1] 毛士艺[1] 刘祥林[1] 

机构地区：[1]北京航空航天大学电子工程系

出　　处：《北京航空航天大学学报》2001年第6期713-716,共4页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金资助项目 ( 6 98310 40 )

摘　　要：从随机过程理论角度按平稳程度把合成孔径雷达 (SAR)图像分为分辨单元内平稳、分辨单元内不平稳、处理窗内局部平稳和处理窗内局部不平稳 4种情况 ,研究了非平稳性对图像的斑点乘性噪声模型、场景 斑点乘积模型和结构邻域模型的影响 ,得出各自的平稳性适用条件 ,并在此基础上评价了各种滤波降噪方法的性能 。From the stochastic process point of view, Synthetic Aperture Radar (SAR) images are divided into four cases as stationary within resolution cell, nonstationary within resolution cell, stationary within local processing window and nonstationary within local processing window according to their stationarities. Then the influence of nonstationarity on multiplicative noise model of speckle, scene speckle product model and structured neighborhood model are investigated, stationarity satisfactory conditions of these models are derived respectively. The performances of various kinds of de speckling filters are re assessed based on the above analyses, and filtering results of real imagery are given.

关 键 词：合成孔径雷达 滤波器 模拟退火 非平稳性图像 降噪方法 影响分析 图像模型 图像处理 

分 类 号：TN957.52[电子电信—信号与信息处理]