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
fDate :
Oct. 28 2003-Nov. 1 2003
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;
Conference_Titel :
Antennas, Propagation and EM Theory, 2003. Proceedings. 2003 6th International SYmposium on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7831-8
DOI :
10.1109/ISAPE.2003.1276729