• DocumentCode
    3530408
  • Title

    Hyperimage concept: Multidimensional Time-Frequency Analysis applied to SAR imaging

  • Author

    Duquenoy, M. ; Ovarlez, J.P. ; Ferro-Famil, L. ; Pottier, E.

  • Author_Institution
    French Aerosp. Lab., ONERA, Palaiseau, France
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    This paper deals with the analysis of non-stationary scatterers in SAR images. Indeed, SAR imaging makes the assumptions that the scatterers are isotropic and white in the emitted frequency band. However, new SAR applications use a large bandwidth and a strong angular excursion. These assumptions become obsolete and the behavior of scatterers becomes non-stationary. The basic tool to study non-stationary signals is the time-frequency analysis. Recent studies based on multidimensional Time-Frequency Analysis describing the angular and frequency behavior of scatterers has highlighted anisotropic and dispersive behavior of bright points. This paper generalizes the hyperimage concept to study scatterers. Multidimensional Time-Frequency distributions are tested on simulations, then they are applied to very high resolution SAR images and show some scatterers are anisotropic and dispersive.
  • Keywords
    geophysical image processing; geophysical techniques; multidimensional signal processing; radar imaging; synthetic aperture radar; time-frequency analysis; SAR imaging; anisotropic behavior; bright points; dispersive behavior; hyperimage concept; multidimensional time-frequency analysis; nonstationary scatterers; nonstationary signals; scatterer behavior; Anisotropic magnetoresistance; Bandwidth; Dispersion; Image analysis; Image resolution; Multidimensional systems; Radar polarimetry; Scattering; Testing; Time frequency analysis; Radar Imaging; Target Classification; Wavelet Transform;
  • 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.2009.5417401
  • Filename
    5417401