中文摘要：

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GammaMap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，GammaMap滤波效率高于其他的传统方法。

英文摘要：

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.