Forward and inverse models for photon transport in soil-ice mixtures and their application to the problem of retrieving optical properties of planetary surfaces

Paolo Picca, Roberto Furfaro, Jeffrey Kargel, Barry D. Ganapol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationSpace Exploration Technologies
DOIs
StatePublished - Jun 2 2008
EventSpace Exploration Technologies - Orlando, FL, United States
Duration: Mar 17 2008Mar 18 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6960
ISSN (Print)0277-786X

Other

OtherSpace Exploration Technologies
CountryUnited States
CityOrlando, FL
Period3/17/083/18/08

Keywords

  • Neural-based inversion
  • Radiative transfer model
  • Remote sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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