• DocumentCode
    1278028
  • Title

    A Systematic Study of the Lowest Order Small Slope Approximation for a Pierson–Moskowitz Spectrum

  • Author

    Wang, Yanqiu ; Broschat, Shira L.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    8
  • Issue
    1
  • fYear
    2011
  • Firstpage
    158
  • Lastpage
    162
  • Abstract
    In an earlier work, a model for calculating scattering from rough surfaces at very low grazing angles was presented. The utility of this model depends on the lowest order small slope approximation (SSA1). In order to ascertain when this new model, called the SSA+, is applicable, we present a systematic study of the accuracy of the SSA1 bistatic scattering cross section for 1-D surfaces for a Pierson-Moskowitz roughness spectrum and the Dirichlet boundary condition. Different frequencies, angles of incidence, and wind speeds are combined to examine 112 different cases. The ranges of scattering angles for which the SSA1 is accurate are given, and an analysis of when the SSA+ can be used is presented. All data and plots are available online.
  • Keywords
    boundary-value problems; remote sensing; 1D surfaces; Dirichlet boundary condition; Pierson-Moskowitz roughness spectrum; SSA+; SSA1 bistatic scattering cross section; lowest order small slope approximation; Acoustic scattering; Approximation methods; Boundary conditions; Electromagnetic scattering; Monte Carlo methods; Polarization; Rough surfaces; Scattering; Sea surface; Surface roughness; Surface waves; Wind speed; Pierson–Moskowitz spectrum; SSA+; rough surface scattering; small slope approximation (SSA);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2010.2053193
  • Filename
    5530349