DocumentCode :
1947773
Title :
A Novel Approach Based on Wavelet-ICA for SAR Image Speckle Suppression
Author :
Lu, XiaoGuang ; Han, Ping ; Wu, Renbiao ; Huang, Jingxiong
Author_Institution :
Tianjin Key Lab for Adv. Signal Process., Civil Aviation China Univ., Tianjin
Volume :
4
fYear :
2006
fDate :
16-20 2006
Abstract :
In this paper we propose a novel speckle suppression method based on the joint of wavelet transform (WT) and independent component analysis (ICA). The method employs ICA to process the wavelet coefficients of images, extracting the independent components which represent the uncorrupt images. Experimental results based on SAR (synthetic aperture radar) images of MSTAR (moving and stationary target acquisition and recognition) dataset show that the proposed method suppresses speckle effectively, and outperforms ICA and Lee filter
Keywords :
image denoising; independent component analysis; object recognition; radar imaging; synthetic aperture radar; wavelet transforms; SAR image speckle suppression; filter; independent component analysis; moving and stationary target acquisition and recognition; synthetic aperture radar; wavelet transform; wavelet-ICA; Discrete wavelet transforms; Image analysis; Image recognition; Independent component analysis; Signal processing; Signal processing algorithms; Speckle; Synthetic aperture radar; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.346033
Filename :
4129725
Link To Document :
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