一种改进的基于非局部均值的极化SAR相干斑抑制算法

贝叶斯形式的非局部均值模型在极化SAR图像相干斑抑制中有良好的应用，在实现抑制相干斑的同时较地保持了边缘细节和点目标。本文通过分析SAR图像多视数据的空间统计分布，结合贝叶斯形式的非局部均值模型，得出了在该模型下多视与单视SAR图像中像素间相似性度量函数一致性的结论，并对该相似性度量函数进行了修正，使之满足对称性；最后针对算法全局使用一个固定滤波参数影响滤波效果的问题，提出了一种根据像素间相似程度自适应选取滤波参数的方法。实验结果验证了本文算法的有效性。

An Improved Polarimetric SAR Speckle Filter Based on Non-local Means

Bayesian non-local means filter is adapted to the Polarimetric SAR multiplicative speckle noise, which effectively reduce the speckle noise and keep the detail. Through analyzing the speckle statistics for multilook-processed SAR image combined with Bayesian non-local means filter, the conclusion that the similarity function in the multilook SAR image is accord to 1-look SAR image was proved in this paper. Then, a new amended similarity function is proposed, finally, an adaptive filtering parameter selection method is proposed based on similarity between pels to solve the problem that a fixed parameter could influence the filter performance. The proposed method is validated on real Polarimetric SAR images through comparisons with the original algorithm.