Multiscale Filtering of SAR Images Based on Stationary Wavelet Decomposition
基于静态小波分解的多尺度SAR图象滤波

Synthetic aperture radar(SAR) images are disturbed by a speckle noise depending on the signal(the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of object detection and classification. In this study, we propose to suppress this noise with a multiresolution analysis of the image. Because the Mallat decomposition can not preserve the translation invariance of an image, the filter in this paper is based on stationary wavelet decomposition. This method is used to an ERS 1 SAR image and then it is compared to a filter based on Mallat decomposition and three other classic SAR image filters, the results show that the presented approach has the advantage both in speckle suppression and the preservation of image details.