一种基于SVR的SAR图像自适应滤波算法

doi:10.3969/j.issn.1001-506X.2010.06.013

Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (6): 1167-1170.doi: 10.3969/j.issn.1001-506X.2010.06.013

一种基于SVR的SAR图像自适应滤波算法

张绍明, 林怡, 邵永社, 陈映鹰

同济大学遥感与空间信息技术研究中心，上海 200092

出版日期:2010-06-28 发布日期:2010-01-03

SAR speckle suppression algorithm based on SVR

ZHANG Shao-meng, LIN Yi, SHAO Yong-She, CHEN Ying-Ying

Research Center of Remote Sensing and Spatial Informatics Technology, Tongji Univ., Shanghai 200092, China

Online:2010-06-28 Published:2010-01-03

摘要/Abstract

摘要：

针对合成孔径雷达（synthetic aperture radar, SAR）图像相干斑噪声抑制问题，提出了一种基于支持向量回归（support vector regression, SVR）分析的空间域自适应滤波方法。将SAR图像看做连续二维函数，利用SVR方法对其进行逼近。基于图像的逼近结果描述像素关联性，并基于关联性破坏程度对噪声进行类型分析，对不同类型的噪声采取确定性的抑制算法。为了保证精度，选择小波核函数构建支持向量回归机。实验结果表明了该方法的有效性和对经典方法的改进。

Abstract:

To suppress the speckle in synthetic aperture radar (SAR) images, a novel adaptive algorithm based on SVR is proposed. The SAR image is regarded as a 2-D continuous function and is approximated by support vector regression (SVR). The result of regression is used to describe the relationship between pixels and the one in its neighborhood. Based on the relationship, the noise is classified to different kinds and suppressed. In the procedure of regression, the wavelet kernel function is used to improve the accuracy. The results of experiments show that this method is effective.

张绍明, 林怡, 邵永社, 陈映鹰. 一种基于SVR的SAR图像自适应滤波算法[J]. Journal of Systems Engineering and Electronics, 2010, 32(6): 1167-1170.

ZHANG Shao-meng, LIN Yi, SHAO Yong-She, CHEN Ying-Ying. SAR speckle suppression algorithm based on SVR[J]. Journal of Systems Engineering and Electronics, 2010, 32(6): 1167-1170.

一种基于SVR的SAR图像自适应滤波算法

SAR speckle suppression algorithm based on SVR

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