极化合成孔径雷达(SAR)图像的相干斑严重影响图像信息的有效提取，为此提出一种基于极化散射特性的相干斑抑制方法。该方法结合SAR图像的冗余信息及其散射特性的相似性，利用Wishart分布对SAR数据的相似性进行度量，然后依据相似性计算权重对协方差矩阵进行加权平均，实现对极化SAR图像的相干斑抑制。本文方法对协方差矩阵的各元素单独处理，因此在极化信息的保留方面尤具优势。通过真实SAR数据的实验表明，该方法与现有极化白化滤波(PWF)和极化Lee滤波相比，具有更好的相干斑抑制能力和细节的保持能力。

The speckle in polarimetric Synthetic Aperture Radar (SAR) image has seriously affected the effectiveness in extracting information. For this reason, a novel method based on the similarity of the scattering for speckle reduction is proposed. This method combines the similarity of the scattering properties and the redundant information in SAR image, and applies the Wishart distribution of SAR data to implement the measurement of the similarity. It then averages the covariance matrices with the weights according to the similarity between the matrices, leading to efficient reduction of the speckle in SAR image. The method processes each element of the covariance matrices, given its advantage in preserving polarimetric properties. Compared with the existing methods, including the Polarimetric Whitening Filter (PWF) and the polarimetric Lee filter, the implementation result indicates that the proposed algorithm is effective in improving the performance of despeckling and details preservation.