Title :
Backscattering From Trees Explained by Random Propagation Times
Author_Institution :
Telecommun. for Space & Aeronaut. Lab. (TeSA), Toulouse, France
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2189889