Refined Denoising Method for SAR Image in The Complex Wavelet Domains

被引：0
|
作者：
Wen, Chenglin [1 ]
Gao, Guowei [2 ]
机构：
[1] Hangzhou Dianzi Univ, Hangzhou, Zhejiang, Peoples R China
[2] Henan Univ, Coll Comp &Informat Engn, Kaifeng, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
speckle reduction; synthetic aperture radar(SAR); complex wavelet;
D O I：
10.1109/WCICA.2008.4594572
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Addressing SAR image speckle denoising, this dissertation proposes a new method based on dual tree complex wavelet transformation combined with modification to them according to significant coefficient rule. In the method, a thresholding method are adapted for each selected subband based on the nonlinear functions. The nonlinear functions are based on sigmoid functions. And then, the wavelet coefficients are modified according to a rule whether the coefficient is a significant one or not. Experimental results show that our algorithm is among the best for speckle removal.
引用
收藏
页码：6798 / +
页数：2
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