Refined PolSAR anisotropic diffusion filter coupling with adaptive data-fitting term

In this paper, we propose a method to refine the similarity measurement for constructing the diffusion coefficients in each iteration in the PolSAR anisotropic diffusion filter, by considering both the information of the original speckled image and the filtered image of last iteration. In addition, to alleviate the over-smoothing problem the anisotropic diffusion based methods often encountered, an adaptive noise level based data-fitting term is also added into the diffusion equation. Experiments on both simulated and real PolSAR images revealed the good performances of the proposed method in both suppressing speckle and retaining image quality.