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Proceedings Paper

Thermal infrared scene simulation for plume detection algorithm evaluation
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Paper Abstract

This paper demonstrates the use of a high fidelity hyperspectral scene simulation tool, called MCScene, to generate realistic thermal infrared scenes that can be used for algorithm development efforts, such as gas plume detection algorithms. MCScene is based on a Direct Simulation Monte Carlo (DSMC) approach for modeling 3D atmospheric radiative transport, as well as spatially inhomogeneous surfaces including surface BRDF effects. Synthetic “groundtruth” is specified as surface and atmospheric property inputs, and it is practical to consider wide variations of these properties. The model includes treatment of land and ocean surfaces, 3D terrain and bathymetry, 3D surface objects, and effects of finite clouds with surface shadowing. The computed hyperspectral data cubes can supplement field validation data for algorithm development. Sample calculations presented in this paper include a thermal infrared simulation for a desert scene that includes a gas plume produced by an industrial complex. This scene was derived from an AVIRIS visible to SWIR HSI data collect over the Virgin Mountains in Nevada. The data has been extrapolated to the thermal IR and a representative industrial site and plume have been added to the scene.

Paper Details

Date Published: 13 August 2004
PDF: 11 pages
Proc. SPIE 5416, Chemical and Biological Sensing V, (13 August 2004); doi: 10.1117/12.544887
Show Author Affiliations
Robert L. Sundberg, Spectral Sciences, Inc. (United States)
Steven Richtsmeier, Spectral Sciences, Inc. (United States)
Alexander Berk, Spectral Sciences, Inc. (United States)
Steven Adler-Golden, Spectral Sciences, Inc. (United States)
Marsha Fox, Spectral Sciences, Inc. (United States)
Raymond Haren, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 5416:
Chemical and Biological Sensing V
Patrick J. Gardner, Editor(s)

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