Robust despeckle for SAR image using multiscale autoregressive model

We propose a novel, robust and multiscale despeckling method, based on the robust multiscale scale-recursive estimation algorithm of multiscale autoregressive (MAR) model on dyadic tree. First, a suitable MAR model, which provide a powerful frame work for describing random process and fields that evolve in scale, is selected to model SAR image. Then, filtering for the image is given based on the robust scale-recursive optimal estimation algorithm. The proposed algorithm is not only, computationally efficient but also capable of generating error statistics, as desired Experiments over SAR images confirm the robustness of the filtering algorithm we proposed.