Nonlocal filtering for Polarimetric SAR Data based on bilateral filtering

In this paper, we introduce a nonlocal filtering method for Polarimetric SAR Data based on bilateral filtering. This method is a combination of local and nonlocal filtering. In order to keep the spatial structure of image, we select similar blocks in a large area; and to adapt to the pixel similarities, the iterative bilateral filtering is applied to the selected similar blocks. To deal with polarimetric data, we propose a new similarities based on complex Wishart distance. We demonstrate the performance of the proposed algorithm by using the experimental data. The experiment shows the better performance of the proposed method. There are fewer speckle noise in homogeneous areas. And some detail of structures, i.e., edges, lines, points, and curves, are well protected.