| SAR图像滤波的小波域多尺度HMM方法 |
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| 引用本文： | 贺占庄,徐炜,黄士坦.SAR图像滤波的小波域多尺度HMM方法[J].武汉大学学报(工学版),2005,38(3):126-130. |
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| 作者姓名： | 贺占庄 徐炜 黄士坦 |
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| 作者单位： | 西安微电子技术研究所,陕西,西安,710075 |
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| 摘 要： | 针对合成孔径雷达(SAR)图像固有的相干斑噪声,提出了基于小波域多尺度隐马尔可夫模型(HMM)的去噪方法.该方法首先分析了小波域系数的统计特性,利用B样条小波基所生成滤波器的线性相位性对图像系数进行了统计建模,通过将1D信号的处理技术应用到2D信号,实现了图像系数建模更为准确、参数训练速度更快、斑点噪声抑制更加有效的目的.与常用的几种滤波算法相比,实验结果也表明该方法在平滑噪声和保持有用信号细节两方面均显示出了较好的效果.
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| 关 键 词： | 相干斑噪声 小波变换 隐马尔可夫模型 |
| 文章编号： | 1671-8844(2005)03-126-05 |
| 修稿时间： | 2004年8月27日 |
SAR image denoising based on multiresolution hidden Markov model of wavelet-field |
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| HE Zhan-zhuang,XU Wei,HUANG Shi-tan.SAR image denoising based on multiresolution hidden Markov model of wavelet-field[J].Engineering Journal of Wuhan University,2005,38(3):126-130. |
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| Authors: | HE Zhan-zhuang XU Wei HUANG Shi-tan |
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| Abstract: | An efficient method based on multiresolution hidden Markov model of wavelet-field to suppress the speckle noise in synthetic aperture radar (SAR) images is presented. It begins with an analysis of the coefficient statistic characteristics of wavelet-field. The image coefficient is modeled by using linear phase of statistic B-spline base filter. The two-dimension signal processing method is applied instead of one-dimension. Thus the more accurate modeling of image coefficients, the faster speed of training parameter and the more effective suppressing of speckle noise are realized. Compared to several conventional denoising methods, the simulative experimental results show that it has obvious merits in noise smoothing and available signal detail keeping as well. |
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| Keywords: | speckle noise wavelet transform hidden Markov model |
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