Synthetic hyperspectral data cubes for complex thermal scenes

Christoph C. Borel; William B. Clodius; Pierre V. Villeneuve

doi:10.1117/12.328106

16 October 1998 Synthetic hyperspectral data cubes for complex thermal scenes

Christoph C. Borel, William B. Clodius, Pierre V. Villeneuve

Proceedings Volume 3438, Imaging Spectrometry IV; (1998) https://doi.org/10.1117/12.328106
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Christoph C. Borel, William B. Clodius, and Pierre V. Villeneuve "Synthetic hyperspectral data cubes for complex thermal scenes", Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); https://doi.org/10.1117/12.328106

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