[徐正全] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
[周龙] Department of Electric Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China
[Zeng, Wu] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China<&wdkj&>Department of Electric Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China
通讯机构：
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
A novel method to address the Gaussian noise of remote sensing image using non-tensor wavelet and SURE-LET was presented, which mainly contained three parts: the non-tensor wavelet decomposition, coefficients shrinkage of each subbands using the threshold functions, and estimating the optimal combination weights of the processed subbands. The non-tensor wavelet filters could be represented in the parametric form, by using appropriate, the non-tensor wavelet coefficients of noise free remote sensing images and noise were separated better than the traditional tensor wavelet coefficients. As a re...
