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《Science of Surveying and Mapping》 2013-05
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SAR image despeckling based on statistical model in NSCT domain

YIN Ming;LIU Wei;WU Jiang-min;School of Computer and Information,Hefei University of Technology;School of Mathematics,Hefei University of Technology;  
In the paper,additive model was introduced to SAR image,and Non-Subsampled Contourlet Transformation was used.According to the correlation among its coefficient,neighborhood coefficients and the father coefficients,it proposed a classification standard where the coefficients were divided into the important and unimportance coefficients. Moreover,the improved Donoho's threshold was used to process the important coefficients,and estimated the original NSCT coefficients from noisy coefficients. Thus the speckle was removed of SAR image. Lastly,experimental results for speckle reduction of real SAR images showed that the algorithm would outperform the other current despeckling algorithms both in the despeckle effect and the detail reserve of image.
【Fund】: 安徽省教育厅重点科研项目(KJ2010A282);; 安徽省自然科学基金资助项目(11040606M06)
【CateGory Index】: TN957.52
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【Citations】
Chinese Journal Full-text Database 5 Hits
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【Co-citations】
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1 JIA Jian1,2,CHEN Li1(1.School of Information Science and Technology,Northwest University,Xi′an,Shaanxi 710127,China;2.Department of Mathematics,Northwest University,Xi′an,Shaanxi 710127,China);Using Normal Inverse Gaussian Model for Image Denoising in NSCT Domain[J];Acta Electronica Sinica;2011-07
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【Secondary Citations】
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