A Method for De speckling of SAR Image Based on CHMT Model

doi:10.3969/j.issn.0253-374x.2012.04.022

Home > Archive>Volume 40, Issue 4, 2012 >0629-0634. DOI:10.3969/j.issn.0253-374x.2012.04.022

A Method for De speckling of SAR Image Based on CHMT Model
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                        10.3969/j.issn.0253-374x.2012.04.022
                    
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                        DENG LeiDENG Lei
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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LI JiacunLI Jiacun
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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ZHU JiawenZHU Jiawen
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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SUN PingSUN Ping
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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Abstract:

为了获得更好的合成孔径雷达(SAR)图像滤波效果，提出一种基于Contourlet域隐马尔可夫树（CHMT）模型的SAR图像滤波算法.提出基于粗分类的系数绑定方法，提高了CHMT模型参数的解算速度；综合应用对数变换、循环平移和均值校正等方法，建立了针对SAR图像乘性斑点噪声模型的统一滤波处理框架，并将基于CHMT模型的滤波算法融入该框架之中；通过对SAR影像进行滤波实验，并将该滤波算法与Lee滤波、小波软阈值滤波等方法进行了比较.可视效果和统计指标显示：基于粗分类的系数绑定方法在改善滤波效果的同时，对CHMT模型解算的速度有很大的提高；在统一滤波框架下，基于CHMT方法的滤波效果优于其他的几种滤波方法.

Key words:SAR image; Contourlet transform; hidden Markov tree; speckle

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DENG Lei, LI Jiacun, ZHU Jiawen, SUN Ping. A Method for De speckling of SAR Image Based on CHMT Model[J].同济大学学报(自然科学版),2012,40(4):0629~0634

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Received:February 24,2011
Revised:January 09,2012
Adopted:July 09,2011
Online: April 27,2012
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