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相干斑抑制是极化合成孔径雷达(Pol SAR)图像分析的重要预处理步骤。为了更好地抑制极化SAR图像中的相干斑,本文综合目标的异质性和结构信息,提出基于目标异质性的非局部均值滤波方法。首先利用K分布距离度量目标的异质性,并以异质性为基础,保留图像中的点、线等高异质性目标;然后计算图像块之间的异质性差异,最后将其作为度量非局部均值加权滤波像元相似性的权重系数,实现对Pol SAR图像的相干斑抑制。实验对比结果表明:本文方法能够有效地抑制相干斑,同时对细节信息和极化信息也具有良好的保持性,能够为后续的图像应用提供支持。
Speckle reduction is an important preprocessing step for polarimetric SAR imaging analysis. In order to better suppress the speckle in the polarimetric SAR image, this paper proposes a non-local averaging filtering method based on the target heterogeneity based on the heterogeneity and structural information of the target. First, the heterogeneity of the target is measured by using the K distribution distance, and based on the heterogeneity, the target of high heterogeneity such as point and line in the image is preserved; then the heterogeneity difference between the image blocks is calculated; finally, The weight coefficient of the similarity of non-local mean weighted filter pixels is measured to realize the speckle reduction of Pol SAR images. Experimental results show that the proposed method can effectively suppress the speckle and preserve the details and polarization information effectively, which can be used to support subsequent image applications.