Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 158-162.

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Direction Optimization of Sampling Matrix and SAR Image Denoising in ND-GSM Model

CHEN Shuang-ye, ZHOU Er-jiang and WU Qiang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: A new improved algorithm of the sampling matrix direction based on the model of ND-GSM combining with the nonsubsampled Direction lettransform and the model of Gaussian scale mixtures was presented.First,binary wavelet transform is applied to segment subgraphs of SAR image to determine thesampling matrix of optimizing direction of SAR image.Then,by combining nonsubsampled Directionlet transform which optimizes the direction of the sampling matrix with Gaussian scale mixtures in the segmentation subgraphs,the marginal distributions of neighbor coefficients in the nonsubsampled Directionlet domain with the sampling matrix of direction optimization are modeled.Finally,for removing the speckle noise,the Bayes least square estimation is adopted to evaluate each coefficient.The denoised segmentation subgraphs is composed to obtain the SAR image after denoising.The method solves the phenomenon that image approximation effect is bad when the direction of nonsubsampled Directionlet basis function and the direction of the image anisotropic target is inconsistent.Simulation results show that theme thod can fully reflect strong correlation among the amplitudes of neighbor coefficients,have obvious advantage in image detail preservation,improve the image visual effect and achieve a better denoising performance than the spatial filtering and wavelet method.

Key words: Nonsubsampled directionlet transform,Gaussian scale mixtures,Direction optimization of sampling matrix,SAR image

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