Computer Science – Performance
Scientific paper
May 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.6960e..18p&link_type=abstract
Space Exploration Technologies. Edited by Fink, Wolfgang. Proceedings of the SPIE, Volume 6960, pp. 69600O-69600O-11 (2008).
Computer Science
Performance
Scientific paper
Remote sensing studies are often based on simplified approaches describing the photon transport in absorbing and scattering media. The main purpose of the present paper is to show the potentiality of modeling directly the transport phenomena by mean of linear Boltzmann equation. Some details about the solution method of the integro-differential equation are reported with a collection of results of relevance in planetary study domain. An inverse approach based on artificial neural network is also proposed to retrieve the optical properties of planetary surfaces and its performances are tested in various cases.
Furfaro Roberto
Ganapol Barry D.
Kargel Jeffrey
Picca Paolo
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