A new adaptive algorithm for despeckling SAR images based on contourlet transform

被引：0
|
作者：
Li, Ying-qi [1 ]
He, Ming-yi [1 ]
Fang, Xiao-feng [1 ]
机构：
[1] Northwestern Polytech Univ, Coll Elect Engn, Xian 710072, Peoples R China
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new adaptive contourlet transform-based technique for SAR image speckles removal is presented. It relies on realistic distribution of the SAR image's contourlet coefficients that represent mainly speckle noise on one hand and those that represent the useful signals corrupted on the other hand. The analytic model for these distributions is proposed. The shrinkage factor for despecking is estimated at neighbourhood of the reference contourlet coefficient in each sub bands. Finally, a comparison of performance of Lee filter, Froster filter, Gamma filter, wavelet-based despeckling and contourlet transform-based despeckling is provided for both simulated and actual SAR images. It shows that the contourlet methods strongly suppress speckle, while preserving image details and sharpness.
引用
收藏
页码：2987 / +
页数：3
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