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Proceedings Paper

Automated hyper/multispectral image analysis tool
Author(s): John A. Conant; Kurt D Annen
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Paper Abstract

Hyperspectral and multispectral imagery provide a powerful remote sensing tool. In applications for which the image is produced by gaseous emission, analysis of the image to obtain the concentration and temperature of the gas flow is difficult and computationally intensive. We have developed a solution to this analysis problem using a physics-based scene model coupled with an automatic solver, a nonlinear optimization algorithm. The image set is modeled using a parameterized description of the gaseous flowfield and a three-dimensional spectral gas radiance model. The solver algorithm generates a trial flowfield and runs the radiance model, iteratively varying the flow parameters until an optimum match is obtained between measured and modeled images. An example analysis is shown using multispectral images of a microgravity flame.

Paper Details

Date Published: 20 August 2001
PDF: 4 pages
Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437003
Show Author Affiliations
John A. Conant, Aerodyne Research, Inc. (United States)
Kurt D Annen, Aerodyne Research, Inc. (United States)

Published in SPIE Proceedings Vol. 4381:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
Sylvia S. Shen; Michael R. Descour, Editor(s)

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