SAR image denoising based on combined Lee and Curvelet
作者
Guan Xiaoqia
摘要
A novel SAR image denoising algorithm based on the combination of Lee filter and Curvelet algorithm is presented.Smooth areas and edges of SAR images are distinguished and labelled by 16 direction detection template.Smooth areas and edges of SAR images are processed with Lee filter and improved soft threshold Curvelet,respectively.A complete denoising image is gnerated by the combination of the two denoising results.Experimental results show that,compared with several kinds of denoising algorithms,the proposed algorithm has better performance in noise suppression and edge protection.