• DocumentCode
    575968
  • Title

    Towards a more reliable estimation of forest parameters from polarimetric SAR tomography data

  • Author

    Frey, Othmar ; Meier, Erich ; Hajnsek, Irena

  • Author_Institution
    Earth Obs. & Remote Sensing, ETH Zurich, Zurich, Switzerland
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3110
  • Lastpage
    3113
  • Abstract
    In this contribution, tomographic imagery obtained from estimating the 3-D localization and the polarimetric signature of backscattering sources within a forest environment from fully-polarimetric multibaseline SAR data at L- and P-bands are presented. Both, polarization diversity and spatial diversity were exploited jointly within the tomographic focusing to estimate the targets´ localization and polarimetric signature. We thereby extend our recently proposed time-domain back-projection (TDBP)-based tomographic focusing approach. The tomographic slices obtained from polarimetric spectral estimation using MLBF, Capon, and MUSIC are opposed to the results previously obtained by tomographic focusing of the individual polarization channels. The results are briefly discussed with respect to potential advancements towards more reliable estimation of forest parameters from SAR tomography data.
  • Keywords
    geophysical image processing; geophysical techniques; image segmentation; synthetic aperture radar; vegetation; 3-D localization; Capon; L-band; MLBF; MUSIC; P-band; TDBP-based tomographic focusing approach; backscattering sources; forest environment; forest parameters; fully-polarimetric multibaseline TOWARDS SAR data; individual polarization channels; localization signature; polarimetric SAR tomography data; polarimetric signature; polarimetric spectral estimation; polarization diversity; spatial diversity; time-domain back-projection; tomographic focusing; tomographic imagery; tomographic slices; Estimation; Focusing; L-band; Multiple signal classification; Remote sensing; Synthetic aperture radar; Tomography; Capon; MUSIC; SAR tomography; beamforming; forestry;
  • 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.2012.6350767
  • Filename
    6350767