• DocumentCode
    2208476
  • Title

    Analysis of textured PolSAR data by shannon entropy

  • Author

    Eltoft, T. ; Doulgeris, A. ; Anfinsen, S.N.

  • Author_Institution
    Dept. of Phys. & Technol., Univ. of Tromso, Tromso, Norway
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1449
  • Lastpage
    1452
  • Abstract
    The Shannon entropy has previously been used in the analysis of polarimetric synthetic aperture radar (PolSAR) data, assuming a complex Gaussian distribution for the scattering vector. According to the maximum entropy characterization theorem, the deviation from Gaussian statistics can be quantified as a reduction of the Shannon entropy. This paper derives the Shannon entropy within the framework of the non- Gaussian, multivariate product model and discusses information theoretical interpretations. An experiment demonstrates the information contents associated with the non-Gaussian entropy component.
  • Keywords
    Gaussian distribution; data analysis; electromagnetic wave scattering; geophysical image processing; image texture; maximum entropy methods; radar imaging; radar polarimetry; synthetic aperture radar; Gaussian distribution; Gaussian statistics; Shannon entropy; maximum entropy characterization theorem; multivariate product model; nonGaussian model; polarimetric synthetic aperture radar; scattering vector; textured PolSAR data analysis; Analytical models; Covariance matrix; Entropy; Generators; Scattering; Synthetic aperture radar; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351262
  • Filename
    6351262