国防科技大学学报2011，Vol.33Issue(2)：60-62,3.
一种基于自适应阈值估计算法的SAR图像去噪方法
SAR Image Denoising Based on Adaptive Threshold Estimation Method
摘要
Abstract
An adaptive threshold estimationethod for multiplicative speckle dena/sing in SAR images was proposed,based on wavelet domain merlins with translation invariant denoising.The subband threshold was derived using bayesian estimation theory and a new probability density function.The method was applied for speckle SAR images by using logarithmic transformtion.Theoretical analysis and experimental results demonstrate that the method is computationally more efficient,and disphys better noise remoal as well as better preservation of sharp rectum.关键词
SAR图像/相干斑抑制/小波变换/平移不变/贝叶斯估计Key words
SAR image/speckle removal/ wavelet trnsform/translation invariant/bayesian estimation分类
信息技术与安全科学引用本文复制引用
张一,成礼智..一种基于自适应阈值估计算法的SAR图像去噪方法[J].国防科技大学学报,2011,33(2):60-62,3.基金项目
国家自然科学基金创新群体资助项目(60921062) （60921062）
全国优秀博士论文基金资助项目(200543) （200543）
