• DocumentCode
    2597440
  • Title

    Spectral analysis of non-stationary ocean SAR images using the Wigner-Ville transform

  • Author

    Grassin, Sabrina ; Garello, Rene

  • Author_Institution
    Dept. ITI, Telecom Bretagne, Brest
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    1956
  • Abstract
    Physical events, such as swell or internal waves, have a strong signature on ocean SAR (synthetic aperture radar) images. The spatial periodicity of these phenomena justifies the use of spectral analysis tools for their detection, localization and pertinent parameter estimation (wavelength, direction of propagation, energy, …). However, these spectral phenomena are highly non-stationary, especially near the coast where the bathymetric conditions greatly influences the propagation. As the study of these variations are important near the coast, because of human activity, spectral analysis tools robust in non-stationary situations have to be considered. For that purpose, investigations were carried out to evaluate the efficiency of the Wigner-Ville distribution. This representation exhibits very good properties and has been quite extensively studied, even if the numerical implementation still presents some difficulties
  • Keywords
    geophysical signal processing; ocean waves; oceanographic techniques; radar imaging; remote sensing by radar; spectral analysis; synthetic aperture radar; Wigner-Ville distribution; Wigner-Ville transform; coast; internal wave; measurement technique; nonstationary ocean SAR image; ocean dynamics; ocean wave; radar imaging; radar remote sensing; sea surface; spatial periodicity; spectral analysis; swell; synthetic aperture radar; Frequency estimation; Oceanographic techniques; Oceans; Parameter estimation; Radar detection; Robustness; Sea surface; Spectral analysis; Synthetic aperture radar; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516854
  • Filename
    516854