SAR图像斑点噪声整体变分偏微分方程滤波算法研究.pdfVIP

15 6 Vol. 15, No. 6 2010 6 Journal of Image and G raphics June, 2010 SAR 李 贺 秦志远 周丽雅 (, 450052) SAR, SAR , , SAR, , , ( PSNR) , (EPI), , : P237 : A : 1006-8 61( 2010) 06- 10-05 Study on SAR Image SpeckleNoise SmoothingAlgorithm with TV-PDE LIH e, Q IN Zh iyuan, ZHOU Liya (Institute of Surveying and Mapp ing, Inf ormation Eng ineering University, Zhengzhou 450052) Abstract The inherent speck le noise of SAR mi age affects the interpretation and the further processing, so it is mi portant to suppress speck le noise of SAR mi ages. A n ice speck le filterwou ld be preserving detailsw hile suppressing the noise. But now none of the existent filters can solve th is problem ideally. TV-PDE( TotalVariation Partial D ifferential Equation) w as introduced to denoise speckle noise because is mi portant to reduce the speckles for SAR mi age. Them athem aticalm odel for denoise was bu ilt and then the capability of th is model w as analyzed and also the mi portance of selecting preference. Expermi ents proved the validity of the m odel. Tak ing Peak S ignal-to-Noise Ratio( PSNR ) as criterion the best preference w as found by using polynom ial fitting. The m odel preserved the edgew hen denoise the speckle better comparing w ith other algorithm s according to EPI( Edge Preserved Index). eywords speckle noise, total variation( TV), partial differential equation( PDE) , peak signal-to-noise ratio( PSNR ), edge preserved index( EPI) 0 SAR, , ( SAR) , SAR ,