• DocumentCode
    2676435
  • Title

    Low-grazing backscattering efficiency from clustering vegetation

  • Author

    Min, Zlimg ; Lu, Bai ; Zhensen, Wu ; Song Yuexia

  • Author_Institution
    Sch. of Sci., Xidian Univ., Xi´´an, China
  • fYear
    2003
  • fDate
    Oct. 28 2003-Nov. 1 2003
  • Firstpage
    468
  • Lastpage
    471
  • Abstract
    A low-grazing scattering model for vegetation where leaves occur in clusters is developed in this paper. Taken into account of the coherent effects from different clustering scatters. Monte-Carlo method is applied to simulate the low-grazing backscattering from the clustering vegetation that which is distributed randomly or regularly respectively. The results are good used to explain the backscattering enhancement and the grazing incidence characteristic of the clustering vegetation.
  • Keywords
    Monte Carlo methods; backscatter; electromagnetic wave scattering; statistical analysis; Monte-Carlo method; clustering vegetation; grazing incidence characteristic; low-grazing backscattering efficiency; Backscatter; Electromagnetic propagation; Electromagnetic scattering; Laboratories; Particle scattering; Radar detection; Radar scattering; Remote sensing; Vegetation; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas, Propagation and EM Theory, 2003. Proceedings. 2003 6th International SYmposium on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-7831-8
  • Type

    conf

  • DOI
    10.1109/ISAPE.2003.1276729
  • Filename
    1276729