• DocumentCode
    513307
  • Title

    Hybrid of the method of moments/ Monte Carlo technique and a surface scattering model for estimating the radar backscatters OF harvested farm fields

  • Author

    Oh, Yisok ; Hwang, Ji-Hwan

  • Author_Institution
    Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The method of moments/Monte Carlo technique is used to numerically compute the Mueller matrix for radar backscattering from stem-cut cluster sections of a harvested farm field, and a semi-empirical surface scattering model is employed for estimating the radar backscatter of a rough soil surface. The full-wave numerical technique and the surface scattering model are combined to compute the Mueller matrix and consequently the backscattering coefficients of a harvest farm field. This hybrid technique is verified comparing the numerical computations with the experimental measurements for the backscattering coefficients of harvested rice fields.
  • Keywords
    Monte Carlo methods; backscatter; method of moments; remote sensing by radar; soil; vegetation mapping; Monte Carlo technique; Mueller matrix; backscattering coefficients; harvested farm fields; harvested rice fields; moment method; numerical technique; radar backscattering; rough soil surface; stem-cut cluster sections; surface scattering model; Backscatter; Moment methods; Monte Carlo methods; Optical scattering; Radar measurements; Radar scattering; Rough surfaces; Soil measurements; Solid modeling; Surface roughness; Moment method; Monte Carlo technique; harvested farming fields; radar backscatter; surface scattering model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418008
  • Filename
    5418008