SAR IMAGE DESPECKLING BASED ON CONTOURLET DOMAIN HIDDEN MARKOV TREES MODEL

被引：2

作者：

Sha Yu-Heng ^{[1
]}

Cong Lin ^{[1
]}

Sun Qiang ^{[1
]}

Jiao Li-Cheng ^{[1
]}

机构：

[1] Xidian Univ, Minist Educ China, Inst Intelligent Informat Proc, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China

来源：

JOURNAL OF INFRARED AND MILLIMETER WAVES | 2009年 / 28卷 / 01期

关键词：

SAR image processing; SAR image despeckling; Contourlet domain; hidden Markov trees(HMT) models; geometry multi-scale analysis; SPECKLE-REMOVAL;

D O I：

10.3724/SP.J.1010.2009.00066

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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 the method represents better performance in speckle reduction and edges information detection.

引用

页码：66 / 71

页数：6

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