• DocumentCode
    2607770
  • Title

    Analytical, experimental, and numerical studies of angular memory signatures of waves scattered from 1-dimensional rough surfaces

  • Author

    Kuga, Yasuo ; Le, Charlie T C ; Ishimaru, Akira

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    2128
  • Abstract
    It is known that a change in the direction of an incident wave on a random medium is “remembered” by the scattered wave in the angular correlation characteristics. This “memory effect” is studied for rough surface scattering by means of theoretical (second-order Kirchhoff approximation (KA)), numerical (Monte Carlo simulations) and experimental (millimeter-wave range) approaches. The second-order KA has been found to be effective for wave scattering from very rough surfaces with large radii of curvature and high slopes (0.5 to 1.5). The results are presented in a form of memory signatures which clearly exhibit the important features of this effect
  • Keywords
    backscatter; electromagnetic wave scattering; geophysical techniques; ocean waves; oceanographic techniques; radar cross-sections; Monte Carlo simulation; analytical theory; angular correlation characteristics; angular memory signature; backscatter; geophysical measurement technique; incident wave; land surface; memory effect; numerical model; ocean; one dimensional rough surface; radar remote sensing; radar scattering; sea surface; second-order Kirchhoff approximation; terrain mapping; Electromagnetic scattering; Frequency; Kirchhoff´s Law; Optical scattering; Optical surface waves; Random media; Rough surfaces; Shadow mapping; Surface roughness; Surface waves;
  • 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.1996.516910
  • Filename
    516910