DocumentCode
247833
Title
Fast computing of large 3D dielectric forest scattering problems using the Characteristic Basis Function Method with the Adaptative Cross Approximation algorithm
Author
Fenni, Ines ; Roussel, Helene ; Darces, Muriel ; Mittra, Raj
Author_Institution
L2E, UPMC Univ. Paris 06, Paris, France
fYear
2014
fDate
6-11 July 2014
Firstpage
2002
Lastpage
2003
Abstract
This paper presents the hybridation of the Characteristic Basis Function Method with the Adaptative Cross Approximation algorithm while generating the reduced linear equation system. The proposed method is applied to 3D scattering model in the context of forest remote sensing. It enables us to realize a significant improvement of the performances of the CBFM both in terms of memory use and CPU time while maintaining a good level of accuracy compared to the CBFM solution.
Keywords
approximation theory; electromagnetic wave scattering; remote sensing; 3D scattering model; CBFM solution; CPU time; adaptative cross approximation algorithm; characteristic basis function method; forest remote sensing; large 3D dielectric forest scattering problems; reduced linear equation system; Algorithm design and analysis; Approximation algorithms; Approximation methods; Mathematical model; Method of moments; Scattering; Vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location
Memphis, TN
ISSN
1522-3965
Print_ISBN
978-1-4799-3538-3
Type
conf
DOI
10.1109/APS.2014.6905328
Filename
6905328
Link To Document