• DocumentCode
    512978
  • Title

    A polarimetric vegetation model to retrieve particle and orientation distribution characteristics

  • Author

    Neumann, Maxim ; Ferro-Famil, Laurent ; Jäger, Marc ; Reigber, Andreas ; Pottier, Eric

  • Author_Institution
    IETR Lab., Univ. of Rennes 1, Rennes, France
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    A simple vegetation model for polarimetric covariance and coherency matrix elements is presented. The model aims to represent vegetation characteristics which are observable by radar polarimetry, including the average particle scattering anisotropy, the main orientation of the volume, the degree of orientation randomness in the volume, and the terrain slopes. The goal of this approach is to quantify these parameters and to enable their estimation in a remote sensing parameter inversion framework. The retrieval of parameters related to effective particle shapes in the polarization plane and the orientation distribution characteristics is evaluated on real SAR data acquired by DLR´s E-SAR system at L-band.
  • Keywords
    covariance matrices; geophysical signal processing; inverse problems; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; SAR data; coherency matrix; orientation distribution characteristics; orientation randomness; particle distribution characteristics; particle scattering anisotropy; particle shape; polarimetric covariance matrix; polarimetric vegetation model; polarization plane; radar polarimetry; remote sensing parameter inversion framework; terrain slope; Anisotropic magnetoresistance; Covariance matrix; Information retrieval; L-band; Particle scattering; Polarization; Radar polarimetry; Remote sensing; Shape; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417351
  • Filename
    5417351