• DocumentCode
    483905
  • Title

    Statistical Analysis of the Electromagnetic Field Scattered by the Ocean Surface in Various Weather Conditions: A Numerical Study in L-Band

  • Author

    Coatanhay, Arnaud

  • Author_Institution
    Lab. E3I2, ENSIETA, Brest
  • Volume
    1
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In this paper, we present a simulation of the radar cross section (backscattering configuration) for different wind speed conditions. More precisely, we highlight the fact that the numerical estimation using a Monte Carlo and a Method of Moment can provide more statistical information than asymptotic approaches. And we show that a statistical contrast criterion (for instance the T-value) can quantify the observability of the sea surface roughness (different weather conditions). Finally, we explain how to optimize this observability when two polarizations are measured using a linear discriminant analysis.
  • Keywords
    Monte Carlo methods; UHF radio propagation; backscatter; electromagnetic wave scattering; marine radar; oceanographic techniques; radar cross-sections; remote sensing; statistical analysis; wind; Kirchhoff approximation; L-band; Monte Carlo method; asymptotic approach; backscattering configuration; electromagnetic field scattering; linear discriminant analysis; method of moment; ocean monitoring activity; ocean surface; polarization measurement; radar cross section; satellite remote sensing; sea surface roughness; small slope approximation; small-perturbation method; statistical analysis; two scale model; weather condition; wind; Backscatter; Electromagnetic fields; Electromagnetic scattering; L-band; Observability; Oceans; Radar cross section; Radar scattering; Sea surface; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4778851
  • Filename
    4778851