• DocumentCode
    2884969
  • Title

    Polarization Dependence of Radar Contrast for Sea Surface Oil Slicks

  • Author

    Fuks, Iosif ; Zavorotny, Valery

  • Author_Institution
    Zel Technol. LLC, Boulder
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    503
  • Lastpage
    508
  • Abstract
    The polarization dependence of microwave radar image contrast between clean sea and oil slicks is investigated in the framework of a two-scale scattering model. The Cox & Munk large-scale slope probability density function (PDF) is used for a clean sea surface and for the oil slicks along with the Elfouhaily power spectrum of sea roughness. The sea roughness modification in the slicks is modeled by cutting off the power spectrum at a sea wavelength of an order of several decimeters and by nulling the skewness coefficients in the Cox & Munk slope PDF. It is shown that the contrast in the radar image of sea surface slicks obtained at HH and HV polarizations exceeds significantly that at VV polarization; the polarization-dependent part of the contrast increases as the grazing angle decreases and the wind speed and the radar frequency increase (at Ku band it exceeds the one at C band); the contrast is azimuth dependent, and it differs for upwind and downwind directions as a result of the skewness of the slope PDF.
  • Keywords
    microwave imaging; oil pollution; polarisation; pollution measurement; radar applications; Cox & Munk large-scale slope probability density function; Elfouhaily power spectrum; clean sea surface; microwave radar image contrast; polarization dependence; radar contrast; sea roughness; sea surface oil slicks; two-scale scattering model; Large-scale systems; Petroleum; Polarization; Probability density function; Radar imaging; Radar scattering; Rough surfaces; Sea surface; Surface cleaning; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2007 IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1097-5659
  • Print_ISBN
    1-4244-0284-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2007.374268
  • Filename
    4250362