• DocumentCode
    2136674
  • Title

    The scattering fields of 2-D sea fractal surface with finite conductivity illuminated by ellipse polarization wave. Part One. Scattering fields in Cartesian coordinates

  • Author

    Tao, Xie ; Li, Binhong ; Chen, WenJun ; He, Yijun

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., China
  • Volume
    4
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2772
  • Abstract
    Recently, many analytical expressions of scattering fields of sea fractal surface with infinite conductivity were derived. In order to simulate multi-polarization SAR imaging of sea surface and consider the effects of polarization on remote sensing of sea surface, we derive the scattering fields from 2D sea fractal surface with finite conductivity illuminated by ellipse polarization wave at Kirchhoff approximation. Then we present the scattering matrix of this model and numerically simulate the bistatic radar cross section (RCS) of 2D sea fractal surface. It shows that the result of applying our model coincides with that of relevant literatures. Our work is divided into two parts. In the first part, we derive the scattering fields in Cartesian coordinates. And in the second part, we evaluate the scattering matrix of this model and then give the numerical results and discuss them.
  • Keywords
    backscatter; data acquisition; geophysical signal processing; oceanographic techniques; oceanography; radar cross-sections; radar signal processing; remote sensing by radar; synthetic aperture radar; 2D sea fractal surface scattering field; Cartesian coordinates; Kirchhoff approximation; bistatic radar cross section; ellipse polarization wave; finite conductivity; multipolarization SAR imaging; remote sensing; scattering matrix; Conductivity; Fractals; Kirchhoff´s Law; Numerical models; Polarization; Radar polarimetry; Radar scattering; Remote sensing; Sea surface; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369877
  • Filename
    1369877