提出一种基于KummerU分布的SAR图像统计建模方法。首先在SAR图像乘积模型框架下，假设SAR图像的相干斑和雷达截面积分量分别服从Gamma分布和Fisher分布，导出了SAR图像的KummerU分布。接着，基于Mellin变换得到了KummerU分布的对数累积量参数估计方法。最后，利用KummerU分布对TerraSAR－X和AIRSAR系统获取的不同场景的SAR图像数据进行统计建模。定性和定量分析的实验结果表明，与经典SAR图像分布模型相比，KummerU分布具有更优的SAR图像统计建模能力。%A statistical modeling method for SAR images is proposed based on the KummerU distribution .First-ly, under the framework of multiplicative model of SAR images , it is assumed that the speckle and the Radar Cross Section ( RCS) factors of SAR images follow the Gamma and Fisher distributions respectively , and then the Kum-merU distribution for SAR images is derived .Secondly , based on the Mellin transform , the parameter estimation method for KummerU distribution using log-cumulants is presented .Finally, the KummerU distribution is employed to the statistical modeling of the SAR images of different scenes acquired by the TerraSAR-X and AIRSAR systems . The experimental results with qualitative and quantitative analysis demonstrate that the KummerU distribution is su -perior to the classical SAR image distributions for the statistical modeling of SAR images .
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