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Sensors 2009, 9(5), 3205-3217;

Detection of Gaseous Plumes using Basis Vectors

PO Box 999, Pacific Northwest National Laboratory, Richland, WA 99352, USA
Author to whom correspondence should be addressed.
Received: 9 January 2009 / Revised: 19 March 2009 / Accepted: 15 April 2009 / Published: 27 April 2009
(This article belongs to the Section Chemical Sensors)
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Detecting and identifying weak gaseous plumes using thermal imaging data is complicated by many factors. There are several methods currently being used to detect plumes. They can be grouped into two categories: those that use a chemical spectral library and those that don’t. The approaches that use chemical libraries include physics-based least squares methods (matched filter). They are “optimal” only if the plume chemical is actually in the search library but risk missing chemicals not in the library. The methods that don’t use a chemical spectral library are based on a statistical or data analytical transformation applied to the data. These include principle components, independent components, entropy, Fourier transform, and others. These methods do not explicitly take advantage of the physics of the signal formulation process and therefore don’t exploit all available information in the data. This paper describes generalized least squares detection using gas spectra, presents a new detection method using basis vectors, and compares detection images resulting from applying both methods to synthetic hyperspectral data. View Full-Text
Keywords: Plumes; detection; LWIR; basis vectors; generalized least squares Plumes; detection; LWIR; basis vectors; generalized least squares

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Chilton, L.; Walsh, S. Detection of Gaseous Plumes using Basis Vectors. Sensors 2009, 9, 3205-3217.

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