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Proceedings Paper

Gaseous plume detection in hyperspectral images: a comparison of methods
Author(s): David W. Messinger
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Paper Abstract

Recently, interest in gaseous effluent detection, identification, and quantification has increased for both commercial and government applications. However, the problem of gas detection is significantly different than the problems associated with the detection of hard-targets in the reflective spectral regime. In particular, gas signatures can be observed in either emission or absorption, are both temperature and concentration dependent, and are viewed in addition to the mixed background pixel signature from the ground. This work applies standard hard-target detection schemes to thermal hyperspectral synthetic imagery. The methods considered here are Principal Components Analysis, Projection Pursuit, and a Spectral Matched Filter. These methods will be compared both quantitatively and qualitatively with respect to their applicability to the gas detection problem. Comparison to truth outputs from the synthetic data provides an accurate quantitative measure of the algorithmic performance. Principle Components and Projection Pursuit are shown to have similar performance, and both are better than the Spectral Matched Filter. Additionally, both Principal Components and Projection Pursuit demonstrate the ability to separate regions of absorption and emission in the plume.

Paper Details

Date Published: 12 August 2004
PDF: 12 pages
Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); doi: 10.1117/12.542143
Show Author Affiliations
David W. Messinger, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5425:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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