SAR Image Denoising Based on Contourlet Domain PCA Analysis
Xiao‐Jun Wu · Jisuanji fangzhen · 2009
Speckle noise is generated by the coherent processing of synthetic aperture radar(SAR) signals.It severely affects the image understanding.The next processing steps such as image segmentation,feature extraction,object classification and recognition are influenced severely.Therefore,speckle denoising is always one of the important problems in SAR image application study.A new method based on principal component analysis(PCA) in Contourlet multi-scale decomposition domain is proposed in order to solve SAR image denoising problem.Furthermore,existing speckle denoising methods are introduced briefly.Firstly,Contourlet transformation is applied to source image with this method.Secondly,image denoising is executed for different frequency sub-images with reconstructed images by PCA method.Finally,denoised image is attained with inverse Contourlet transform.The experimental results of SAR images demonstrate that the proposed method can not only reserve the texture and detail characteristics of the image,but also improve SNR.