• DocumentCode
    3341580
  • Title

    An improvement for the unsupervised Wishart Freeman classification with fully polarimetric SAR data

  • Author

    Cao, Fang ; Hong, Wen ; Pottier, Eric

  • Author_Institution
    Inst. of Electron., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    320
  • Lastpage
    322
  • Abstract
    In this paper, we proposed an improvement for the Wishart Freeman classification, which is based on the Wishart distance measurement and the estimation algorithm of the number of clusters for fully polarimetric SAR data. Our experimental results show the effectiveness of the proposed method.
  • Keywords
    distance measurement; radar polarimetry; signal classification; synthetic aperture radar; Wishart Freeman classification; Wishart distance measurement; polarimetric SAR; unsupervised classification; Clustering algorithms; Estimation; Merging; Pixel; Remote sensing; Scattering; Speckle; Wishart Freeman classification; Wishart distance; data log-likelihood ratio; polarimetric SAR; unsupervised classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651938
  • Filename
    5651938
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3341580