NDLI: Parallelized multilevel Characteristic Basis Function method applied to scattering model for forest remote sensing

Content Provider	IEEE Xplore Digital Library
Author	Fenni, I. Roussel, H. Darces, M. Mittra, R.
Copyright Year	2013
Description	Author affiliation: L2E, UPMC Univ. Paris 06, Paris, France (Fenni, I.; Roussel, H.; Darces, M.) \|\| EMC Lab., Penn State Univ., University Park, PA, USA (Mittra, R.)
Abstract	A parallelized version of multilevel Characteristic Basis Function method (ML-CBFM) is applied in this paper to the problem of electromagnetic scattering in the VHF and UHF bands from trees in large forest areas that are modeled as three dimensional, finite-length, dielectric cylinders. The use of this method enables us to achieve a significant reduction in terms of computing time and memory consumption, as compared to the conventional Method of Moments (MoM), and this, in turn, enables us to handle very large forest areas, well beyond the reach of conventional MoM. Furthermore, we take advantage of the fact that the ML-CBFM algorithm is naturally parallelizable, which provides us an added advantage over the conventional MoM. The ML-CBFM results are shown to be in good agreement with those obtained via the conventional MoM, which confirms the fact that the proposed method is not only computationally efficient, but is accurate as well.
Starting Page	1032
Ending Page	1033
File Size	349973
Page Count	2
File Format	PDF
ISSN	15223965
e-ISBN	9781467353175
DOI	10.1109/APS.2013.6711176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Method of moments Dielectrics Electromagnetic scattering Solid modeling Educational institutions Vegetation
Content Type	Text
Resource Type	Article

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