The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR. Based on the multiplicative noise model and complex matrix, an effective distance similarity measure method is derived, which can process covariance matrix C or coherent matrix T directly. Experiments show that this method can effectively reduce speckle and maintain the polarization information, point targets, and texture structure. Moreover, it can handle large polarimetric SAR with simplicity and ease.%在对极化 SAR 数据进行相干斑抑制过程中，保持其极化信息是首要考虑的问题，而对极化 SAR 数据各元素进行独立的滤波是不可取。依据极化SAR数据形式及噪声模型，该文将双边滤波推广至极化SAR数据处理，推导出一种新的相似性距离度量公式，所提方法可以直接对极化协方差矩阵C或极化相干矩阵T进行处理。该方法能够保持极化信息，有效地抑制相干斑，同时能够更好地保持点目标、纹理结构等，在处理大幅面的极化 SAR数据时简单、快速、有效。
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