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基于BayesShrink软阈值的Bandelet域SAR图像去噪
引用本文:许亚男,汪贤才. 基于BayesShrink软阈值的Bandelet域SAR图像去噪[J]. 计算机与现代化, 2011, 0(11): 67-69,73. DOI: 10.3969/j.issn.1006-2475.2011.11.018
作者姓名:许亚男  汪贤才
作者单位:池州学院物理与机电工程系,安徽池州,247000
基金项目:池州学院引进研究生项目(2009RC001)
摘    要:合成孔径雷达(SAR)图像产生的相干斑噪声是一种乘性噪声,严重影响SAR图像的质量.本文提出一种新的极化SAR图像的去噪方法,该方法对极化SAR图像进行自适应Bandelets阈值方法,阈值采用BayesShrink软阈值方法,将其应用于自适应Bandelets系数.通过实验对比,证实此法与小波阈值去噪相比,能够更好地...

关 键 词:自适应Bandelet变换  BayesShrink软阈值  小波去噪  SAR图像

Bandelet Domain SAR Images Despeckling Based on BayesShrink Soft-thresholding
XU Ya-nan,WANG Xian-cai. Bandelet Domain SAR Images Despeckling Based on BayesShrink Soft-thresholding[J]. Computer and Modernization, 2011, 0(11): 67-69,73. DOI: 10.3969/j.issn.1006-2475.2011.11.018
Authors:XU Ya-nan  WANG Xian-cai
Affiliation:XU Ya-nan,WANG Xian-cai(Dept.of Physical and Mechanical and Electrical Engineering,Chizhou University,Chizhou 247000,China)
Abstract:Synthetic Aperture Radar(SAR) images are inherently affected by multiplicative speckle noise,which seriously affects the quality of SAR images.This paper presents a despeckling method for SAR images based on adaptive Bandelets thresholding.This threshold is derived in a Bayesian framework named BayesShrink soft-thresholding,and it is applied to adaptive Bandelets coefficients to achieve more satisfying results.The performances of this proposed scheme and wavelet thresholding for despeckling SAR images are c...
Keywords:adaptive Bandelet transform  BayesShrink soft-thresholding  wavelet denoising  SAR images  
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