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
Link To Document :
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