8 November 2005 Algorithms for chemical detection, identification and quantification for thermal hyperspectral imagers
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Proceedings Volume 5995, Chemical and Biological Standoff Detection III; 59950G (2005) https://doi.org/10.1117/12.632114
Event: Optics East 2005, 2005, Boston, MA, United States
Abstract
Standoff detection, identification and quantification of chemicals in the gaseous state are fundamental needs in several fields of applications. Sensor requirements derived from these applications include high sensitivity, low false alarms and real-time operation, all in a compact and robust package suitable for field use. The thermal infrared portion of the electromagnetic spectrum has been utilized to implement such chemical sensors, either with spectrometers (with no or moderate imaging capability) or with imagers (with moderate spectral capability). Only with the recent emergence of high-speed, large format infrared imaging arrays has it been possible to design chemical sensors offering uncompromising performance in the spectral, spatial, as well as the temporal domain. It is clear from analytical studies that the combined spatial and spectral information holds enormous promises on improving the current performance of passive detection, identification and quantification of chemical agents. This paper presents detection, identification and quantification algorithms developed for hyperspectral imagers operating in the thermal infrared. The effectiveness of these algorithms is illustrated using gaseous releases datacubes acquired using the Telops FIRST imaging spectrometer in the field.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexandre Vallières, Alexandre Vallières, André Villemaire, André Villemaire, Martin Chamberland, Martin Chamberland, Louis Belhumeur, Louis Belhumeur, Vincent Farley, Vincent Farley, Jean Giroux, Jean Giroux, Jean-François Legault, Jean-François Legault, } "Algorithms for chemical detection, identification and quantification for thermal hyperspectral imagers", Proc. SPIE 5995, Chemical and Biological Standoff Detection III, 59950G (8 November 2005); doi: 10.1117/12.632114; https://doi.org/10.1117/12.632114
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