• DocumentCode
    3366749
  • Title

    PolSAR images characterization through Blind Sources Separation techniques

  • Author

    Totir, Felix ; Vasile, Gabriel ; Bombrun, Lionel ; Gay, Michel

  • Author_Institution
    Grenoble-Image-sPeach-Signal-Automatics Lab., Grenoble-INP, Grenoble, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4039
  • Lastpage
    4042
  • Abstract
    Since the backscattered signal in PolSAR images is intrinsically linked with the physical characteristics of the objects in the image, valuable information may be extracted therefrom. The paper focus is to propose a new physical characterization of the scattering target, inspired by the Blind Sources Separation techniques.
  • Keywords
    blind source separation; radar imaging; synthetic aperture radar; PolSAR images characterization; blind sources separation techniques; signal backscattering; Computational modeling; Eigenvalues and eigenfunctions; Matrix decomposition; Pixel; Radar polarimetry; Scattering; Stochastic processes; ICA; PCA; PolSAR; incoherent decomposition;
  • 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.2010.5653551
  • Filename
    5653551
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3366749