A study of SAR images denoising based on AOS nonlinear diffusion
Xi Chen, Hong Zhang, Chao Wang · Chinese Journal of Radio Science · 2004
Based on nonlinear anisotropic diffusion, a new denoising method is proposed for speckle reduction in the SAR image. A numerical additive operator splitting (AOS) scheme is used to efficiently ensure the filtering stability. A good performance is demonstrated by an example of SAR image in both reducing the noise and preserving important features at the same time. The result is also compared with traditional adaptive filtering algorithm based on local statistics. It shows good feasibility and validity of the proposed algorithm.