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

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SAR speckle suppression algorithm based on SVR

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

  1. Research Center of Remote Sensing and Spatial Informatics Technology, Tongji Univ., Shanghai 200092, China
  • Online:2010-06-28 Published:2010-01-03

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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.

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