Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (5): 1036-.doi: 10.3969/j.issn.1001-506X.2011.05.15

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Fuzzy classification of polarimetric SAR images

ZHANG Tao1,2, SUN Jian-tao1,2, YANG Ru-liang1   

  1. 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Graduate School, Chinese Academy of Sciences, Beijing 100049, China
  • Online:2011-05-25 Published:2010-01-03

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Abstract:

For the problem of unsupervised classification of polarimetric SAR images based on fuzzy theory, an improved fuzzy classification method of polarimetric SAR images is presented. The fuzzy H/α  classification method is improved by introducing the total polarimetric power parameter —span. The polarimetric SAR image is classified by the fuzzy H/α/span method. A classified experiment for airborne polarimetric SAR data is carried out by this method. Experimental results indicate that this method can improve the performance of classification and the cluster centers are more reasonable.

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