A Novel Filtering Algorithm for SAR Image Based on Self Adaptive Correction of Penalty Coefficient
基于惩罚系数自适应修正的SAR图像滤波新算法

Speckle noise is serious in SAR(synthetic aperture radar) image.It will greatly affect the information extraction of terra and object and the application of SAR image.A novel filtering algorithm for speckle noise in SAR image is presented here.This algorithm is based on an iterative filter that based on a membrane model Markov random field approximation optimized by a synchronous local iterative method(TSPR).With this algorithm,the affect of the energy function by neighbors' spatial relation is taken into account.Through self adaptive correcting the penalty coefficient in iteration process better filtering effect can be acquired.According the comparison experiments about faded images caused by speckle noise of various intensities,with the algorithm presented here we can restore the image with higher Signal Noise Ratio(SNR) than TSPR algorithm.