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基于Contourlet域HMT模型的SAR图像相干斑抑制
引用本文:沙宇恒,丛琳,孙强,焦李成.基于Contourlet域HMT模型的SAR图像相干斑抑制[J].红外与毫米波学报,2009,28(1):66-71.
作者姓名:沙宇恒  丛琳  孙强  焦李成
作者单位:西安电子科技大学,智能信息处理研究所和智能感知与图像理解教育部重点实验室,陕西,西安,710071
基金项目:国家自然科学基金,预研项目,国家高技术研究发展计划(863计划) 
摘    要:将Contourlet变换用于SAR图像的统计特性研究中.基于Contourlet域隐马尔可夫树模型(CHMT),从图像复原的角度出发,结合最小均方误差估计和Bayes估计给出一种SAR图像相干斑抑制的新方法.并给出基于拉普拉斯金字塔算法(LP)分解的斑点方差估计方法.实验中与小波域HMT算法进行了比较,本文方法在方向信息的保留和斑点的抑制上均有明显改进.

关 键 词:SAR图像处理  SAR图像相干斑抑制  Contourlet域  HMT模型  几何多尺度分析
收稿时间:2008/6/21

SAR IMAGE DESPECKLING BASED ON CONTOURLET DOMAIN HIDDEN MARKOV TREES MODEL
SHA Yu-Heng,CONG Lin,SUN Qiang,JIAO Li-Cheng.SAR IMAGE DESPECKLING BASED ON CONTOURLET DOMAIN HIDDEN MARKOV TREES MODEL[J].Journal of Infrared and Millimeter Waves,2009,28(1):66-71.
Authors:SHA Yu-Heng  CONG Lin  SUN Qiang  JIAO Li-Cheng
Affiliation:Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China;Institute of Intelligent Information Processing;Xidian University;Xi'an 710071;China
Abstract:Contourlet transform was introduced in the SAR image statistical property research work.Based on Contourlet domain Hidden Markov Trees Model,starting from image restore methods,a novel SAR image despeckling method was given.This method combined the SAR image despeckling technology with minimum mean square error(MMSE) and Bayes estimate.A new speckle variation estimate method was given based on Laplacian pyramid(LP).The results comparison with wavelet domain method were given.Experimental results show that t...
Keywords:SAR image processing  SAR image despeckling  Contourlet domain  hidden Markov trees (HMT) models  geometry muhi-scale analysis
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