Volume 5 Issue 2
Apr.  2016
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Article Navigation >  Journal of Radars  > 2016  >  5(2): 208-216
Huang Xiaojing, Yang Xiangli, Huang Pingping, Yang Wen. Prototype Theory Based Feature Representation for PolSAR Images[J]. Journal of Radars, 2016, 5(2): 208-216. doi: 10.12000/JR15071
Citation: Huang Xiaojing, Yang Xiangli, Huang Pingping, Yang Wen. Prototype Theory Based Feature Representation for PolSAR Images[J]. Journal of Radars, 2016, 5(2): 208-216. doi: 10.12000/JR15071
shu

Prototype Theory Based Feature Representation for PolSAR Images

DOI: 10.12000/JR15071
  • 1.

    (School of Electronic Information, Wuhan University, Wuhan 430072, China)

  • 2.

    (Radar Research Institute, Inner Mongolia University of Technology, Hohhot 010051, China)

Funds:

The National Natural Science Foundation of China (61271401, 61461040), The Projects of Inner Mongolia Science Technology Plan (20140155, 20131108)

  • Received Date: 2015-06-04
  • Rev Recd Date: 2015-12-22
  • Publish Date: 2016-04-28
    Abstract
  • This study presents a new feature representation approach for Polarimetric Synthetic Aperture Radar (PolSAR) image based on prototype theory. First, multiple prototype sets are generated using prototype theory. Then, regularized logistic regression is used to predict similarities between a test sample and each prototype set. Finally, the PolSAR image feature representation is obtained by ensemble projection. Experimental results of an unsupervised classification of PolSAR images show that our method can efficiently represent polarimetric signatures of different land covers and yield satisfactory classification results.

     

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