The particle filter (PF) algorithm has been successfully applied to synthetic aperture radar (SAR) image despeckling.In this paper

we propose a modified PF despeckling algorithm based on Markov random field (MRF) in stationary wavelet domain.It is shown that the wavelet coefficients of SAR images which exhibit significantly non-Gaussian statistics can be described accurately by generalized Gaussian distribution (GGD) in stationary wavelet domain.MRF is introduced to redefine the weight of the particles to amend the weight deviation.Furthermore

the sampling interval is updated according to the new weight.To enhance the efficiency of the proposed algorithm

region-divided processing is implemented.Experiment results and analysis demonstrate the ascendant performance of the proposed algorithm in noise reduction

preservation of the textural features

single target and edges of SAR images.