SAR image despeckling with structure preserving
Zhou Liu, Lei Yu, Hong Sun · 2014
Synthetic Aperture Radar (SAR) images despeckling technique has been developed for many years. Most methods cannot strike a good balance between smoothing speckle noise and preserving structure. In order to both smoothing speckle and preserving structure, we proposed a despeckling method using singular value thresholding and iterative regularization which inspires from spatially adaptive iterative singular value thresholding algorithm. This approach combines local and nonlocal structures so that lead to a better performance on structure preserving. The experimental results using simulated speckle Lena image and a real SAR intensity image show that the proposed method has the better performance than the state-of-the-art method like PPB and SAR-BM3D.