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基于子波域隐含马尔可夫模型的SAR图像斑点抑制
引用本文:张志明,王越,陶然,周思永.基于子波域隐含马尔可夫模型的SAR图像斑点抑制[J].北京理工大学学报(英文版),2001,10(1):86-92.
作者姓名:张志明  王越  陶然  周思永
作者单位:北京理工大学 电子工程系,
摘    要:为了抑制合成孔径雷达成像中的“斑点效应” ,提出了一种新颖的基于子波域隐含马尔可夫树的信号处理方法 .首先对图像进行对数变换 ,转换噪声的统计特性 ,然后在子波域建立隐含马尔可夫树模型 .根据此模型 ,进行最大似然估计 ,恢复图像并抑制斑点噪声 .实例显示 ,该方法在平滑斑点噪声的同时又保留了边缘信息 ,使得处理后的图像比较自然 .

关 键 词:合成孔径雷达  子波  隐含马尔可夫模型  噪声抑制  图像处理
收稿时间:2000/2/25 0:00:00

Suppression of Speckle in SAR Images Using Wavelet-Based HMM
ZHANG Zhi ming,WANG Yue,TAO Ran and ZHOU Si yong.Suppression of Speckle in SAR Images Using Wavelet-Based HMM[J].Journal of Beijing Institute of Technology,2001,10(1):86-92.
Authors:ZHANG Zhi ming  WANG Yue  TAO Ran and ZHOU Si yong
Affiliation:Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China
Abstract:In order to suppress the speckle appearing in synthesis aperture radar (SAR) images, a novel speckle reduction method based on wavelet domain hidden Markov tree (HMT) was proposed. First, the image was logarithmic transformed to change the statistical property of the speckles. Then an HMT was constructed in the correspondent wavelet domain. Based on this model, the image signal was restored by maximum likelihood estimation and speckle noise was suppressed. Simulating SAR images had shown that the performance of the filter is satisfactory for both speckle smoothing and edges presentation, and for generating visually natural images as well.
Keywords:synthetic aperture radar (SAR)  wavelet  hidden Markov model(HMM)  noise suppression  image processing
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