The denoising method of SAR image based on Retinex

Abstract

The traditional SAR image denoising methods are not considered a shadow of image, but the shape of shadow is used for recognition. In order to take full use of SAR image dark areas information, the method of SAR image noising based on Retinex is proposed. Firstly, SAR image is decomposed into irradiated SAR image and reflected SAR image based on Retinex model; secondly, the decomposed irradiated SAR image carries through NSCT and threshold select according to context, then NSCT inverse transform; thirdly, reflected SAR image carries through NSCT, and the dark areas information and non-dark areas information are obtained by image binarization processing to irradiated SAR image according to certain threshold value. Bilateral filtering to dark areas information and context threshold select to non-dark areas information, then NSCT inverse transform; at last, image synthesizes according to Retinex model. The method takes full use of SAR image dark areas information, and the simulation results show that the denoising effects of the method is better than other methods.