Bayesian despeckling to SAR images based on the membrane MRF model

SAR imagery can be modeled as the multiplication of the noise-free image and speckle noises. So the noise-free image can be estimated from the observed image with the Bayesian estimation. It´s crucial to choose a proper prior model for well matching the SAR images´ characteristics. In this article the Membrane MRF model is employed to model the prior information, which overcomes the GMRF´s sensitivity to parameters. Simultaneously, the pixels in the homogeneous or in regions with structures are processed by adjusting the model´s neighborhood adoptively. Experiments show that not only the image is despeckled effectively but also the structures are preserved well.