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      Prototype Theory Based Feature Representation for PolSAR Images

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          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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2016
          : 5
          : 2
          : 208-216
          Affiliations
          [1 ] School of Electronic Information, Wuhan University
          [2 ] Radar Research Institute, Inner Mongolia University of Technology
          Article
          c2f7dd5d44244f68a89c169ad1c5d568
          10.12000/JR15071

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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