A speckle reduction algorithm by soft-thresholding based on wavelet filters for SAR images

被引：0
|
作者：
Zhang, J [1 ]
Cheng, XG [1 ]
Liu, J [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Inst Pattern Regognit & AI, Wuhan 430074, Peoples R China
来源：
ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II | 1998年
关键词：
SAR image; wavelet transform; speckle reduction; soft-thresholding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a speckle reduction algorithm by Soft-Thresholding for SAR images in multiscale and multiorientation by using nolinear wavelet analysis. Firstly, a base is chosen according to SAR; image features, which is used to make SAR images 2D; wavelet transformation. Furthermore,we apply the David L. Donoho's soft-thresholdning theory and extend to 2D SAR image;processing,then select suitable soft-threshold is aimed at SAR image features. After, remove speckles by 2D wavelet filtering. Lastly,invert the pyramid filtering recovering SAR image. The content experimental result of remove speckles on SAR images is expected.
引用
收藏
页码：1469 / 1472
页数：4
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