• DocumentCode
    814325
  • Title

    A backscattering model for ocean surface

  • Author

    Chen, K.S. ; Fung, A.K. ; Weissman, David E.

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    30
  • Issue
    4
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    811
  • Lastpage
    817
  • Abstract
    A surface scattering model based on an approximate solution of the integral equations for the surface tangential fields has been developed for non-Gaussian distributed, finitely conducting surfaces. It consists of two parts. One part is proportional to the surface roughness spectrum, and the other to the surface bispectrum. The bispectrum part comes into the model when the third-order surface statistics are included. While the second-order statistics account for the wind directional dependence, the third-order statistics account for the dependence on the sense of direction of the wind. Thus, it is the critical part for explaining the difference between upwind and downwind observations. In general, the bispectrum is a complex quantity and the asymmetric effect of the sea surface is represented by its imaginary part. The model characteristics, such as polarization and azimuthal dependence, are illustrated through numerical calculations. The predictions of the model are compared with field measurements, and excellent agreement is obtained
  • Keywords
    atmospheric techniques; backscatter; ocean waves; oceanographic techniques; remote sensing by radar; wind; approximate solution; atmosphere; azimuthal dependence; backscattering model; direction; geophysical measurement technique; integral equations; microwave; ocean wave; polarization; radar remote sensing; scattering model; sea surface; surface bispectrum; surface roughness spectrum; surface tangential fields; wind directional dependence; Backscatter; Integral equations; Oceans; Polarization; Rough surfaces; Scattering; Sea surface; Statistical distributions; Statistics; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.158877
  • Filename
    158877