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Fast computing of large 3D dielectric forest scattering problems using the characteristic basis function method with the adaptive cross approximation algorithm.

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.
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https://hal.sorbonne-universite.fr/hal-01071158
Contributor : Pascal Gomez <>
Submitted on : Friday, October 3, 2014 - 10:42:26 AM
Last modification on : Wednesday, March 31, 2021 - 6:08:03 PM

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Ines Fenni, Hélène Roussel, Muriel Darces, Raj Mittra. Fast computing of large 3D dielectric forest scattering problems using the characteristic basis function method with the adaptive cross approximation algorithm.. Conference APSURSI 2014, Jul 2014, Memphis, United States. pp.2002 - 2003, ⟨10.1109/APS.2014.6905328⟩. ⟨hal-01071158⟩

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