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      Polarimetric SAR Speckle Reduction Based on Bilateral Filtering

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          Abstract

          The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR. Based on the multiplicative noise model and complex matrix, an effective distance similarity measure method is derived, which can process covariance matrix C or coherent matrix T directly. Experiments show that this method can effectively reduce speckle and maintain the polarization information, point targets, and texture structure. Moreover, it can handle large polarimetric SAR with simplicity and ease.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2014
          : 3
          : 1
          : 35-44
          Affiliations
          [1 ] Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
          Article
          b6251e01976543e3ba79730994bce4e2
          10.3724/SP.J.1300.2014.13133

          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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