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Optical Engineering

Physics-based, reduced-order gas cloud with radiative transport model for rapid simulation of hyperspectral infrared sensors
Author(s): Peter A. Kottke; Andrei G. Fedorov
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Paper Abstract

We have developed a reduced-order, physics-based model of gas cloud transport and combined it with an approximate formulation of the equation of radiative transport to enable efficient prediction of spectral irradiation for simulation of hyperspectral infrared sensors. The resulting combined model is easily implemented, providing a rapid and flexible in silico experimentation capability. The gas cloud model is based on the entrainment hypothesis and predicts cloud trajectories in three-dimensions, with elevation changes occurring primarily due to buoyancy effects and with spreading and accompanying dilution and cooling occurring due to a turbulence dominated growth mechanism. The radiation transport model is simplified through an approximate treatment of scattering that transforms the governing equation from an integro-differential equation to an ordinary differential equation. The conjugate model has been combined with a simple sensor model and has been validated through comparison to results from large-scale field tests. The utility of the simulations has also been demonstrated through inclusion in a larger algorithm development and analysis program, the chem/bio algorithm development kit.

Paper Details

Date Published: 4 May 2012
PDF: 12 pages
Opt. Eng. 51(5) 056401 doi: 10.1117/1.OE.51.5.056401
Published in: Optical Engineering Volume 51, Issue 5
Show Author Affiliations
Peter A. Kottke, Georgia Institute of Technology (United States)
Andrei G. Fedorov, Georgia Institute of Technology (United States)

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