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An Approach for SAR Image Despeckling Based on 2D-Wavelet Transform and ICA |
Lu Xiao-guang;Han Ping; Wu Ren-biao; Liu Rui-hua |
Tianjin Key Lab. for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China |
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Abstract In this paper, a novel speckle suppression method is proposed, which is based on the joint of discrete wavelet transform and independent component analysis (ICA). This method employs ICA to process the wavelet coefficients of images, extracting the independent components which represent the uncontaminated images. Also this paper compares the suppressing performance of several standard wavelet bases,investigating their influences on suppressing the speckle. Experimental results based on SAR images of MSTAR dataset show that the proposed method suppresses speckle effectively, and outperforms ICA and Lee filter.
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Received: 30 October 2006
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