高分辨率SAR图像杂波模型对比研究  

A contrastive study of clutter models in high-resolution SAR image

作　　者：于双[1] 徐佳[1] 杨英宝[1] 王帆[1] 李成仁[1] 

机构地区：[1]河海大学测绘科学与工程系,南京210098

出　　处：《测绘科学》2014年第1期133-136,共4页Science of Surveying and Mapping

基　　金：国家自然科学基金(40901286)

摘　　要：本文针对高分辨率SAR图像的陆地场景,开展Normal分布、Rayleigh分布、LN分布、Weibull分布和Gamma分布模型的对比拟合实验。通过K-S法检验每种模型对不同SAR场景杂波数据的拟合精度,并通过Gamma Map滤波简单说明杂波模型在斑点噪声抑制方面的应用。结果表明,Gamma Map滤波效率高于其他的传统方法。This paper carried out a contrastive fitting experiment about Normal Distribution, Rayleigh Distribution, LN Distribution, Weibull Distribution and Gamma Distribution fitting the ground clutter da- ta of high-resolution SAR images. K-S tests were maken to investigate the accuracy of all models fitting the different SAR clutter scenes, and the example of Gamma Map filter was given to show the simple ap- plication of clutter models in denoising. The result indicates that in filtering, Gamma Map filter would perform better than the traditional filters.

关 键 词：合成孔径雷达(SAR) 杂波拟合 GAMMA分布 滤波 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]