• DocumentCode
    1482484
  • Title

    Backscattering From Trees Explained by Random Propagation Times

  • Author

    Lacaze, Bernard

  • Author_Institution
    Telecommun. for Space & Aeronaut. Lab. (TeSA), Toulouse, France
  • Volume
    50
  • Issue
    10
  • fYear
    2012
  • Firstpage
    4000
  • Lastpage
    4005
  • Abstract
    Dealing with radar backscattering from trees, the Wong model is a mixing of Gaussian spectra with parameters deduced from considerations on motions of branches and leaves. Very detailed experiments by Narayanan et al. show gaps with this model. We show that autocorrelation functions by Narayanan et al are very well fitted by functions in the form exp[-|τ/τ0|α], 0 <; α ≤ 2. In this paper, we prove that the random propagation time theory explains this property. I have shown in other papers that this theory is available to study power spectra in acoustics, ultrasonics, and electromagnetics.
  • Keywords
    atmospheric techniques; backscatter; random processes; remote sensing by radar; wind; Gaussian spectra; Wong model; acoustics spectra; autocorrelation functions; electromagnetic spectra; radar backscattering; random propagation time theory; ultrasonics spectra; wind speed; Acoustics; Backscatter; Computational modeling; Correlation; Radar; Vegetation; Wind speed; Radar backscatter; random propagation time; stable probability laws; stationary process;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2189889
  • Filename
    6177659