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Proceedings Paper

Synthetic hyperspectral data cubes for complex thermal scenes
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Paper Abstract

Generating synthetic hyperspectral data cubes for the thermal is useful because it is very expensive to design and fly such sensors. Using synthetic da is useful in performing trade-off studies, e.g. spectral and radiometric performance requirements, and also in testing new algorithms, e.g. temperature emissivity separation. We have developed a method to simulate complex thermal scenes under variable solar illumination, different materials and including gas plumes. The IDL-based scene simulation tool consists of public domain tools for: 3D geometry generation, raytracing, spectral and thermal property libraries, atmospheric transmission and emission modeling. The data can then be used in standard hyperspectral processing programs or processed by special purpose programs. We show how this model can be used to generate synthetic data cubes for dispersive and Fourier transform IR spectrometers. The data in turn is then used to evaluate algorithms to separate temperature and emissivity.

Paper Details

Date Published: 16 October 1998
PDF: 10 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998);
Show Author Affiliations
Christoph C. Borel, Los Alamos National Lab. (United States)
William B. Clodius, Los Alamos National Lab. (United States)
Pierre V. Villeneuve, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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