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Proceedings Paper

Detection of gas plumes in cluttered environments using long-wave infrared hyperspectral sensors
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Paper Abstract

Long-wave infrared hyperspectral sensors provide the ability to detect gas plumes at stand-off distances. A number of detection algorithms have been developed for such applications, but in situations where the gas is released in a complex background and is at air temperature, these detectors can generate a considerable amount of false alarms. To make matters more difficult, the gas tends to have non-uniform concentrations throughout the plume making it spatially similar to the false alarms. Simple post-processing using median filters can remove a number of the false alarms, but at the cost of removing a significant amount of the gas plume as well. We approach the problem using an adaptive subpixel detector and morphological processing techniques. The adaptive subpixel detection algorithm is able to detect the gas plume against the complex background. We then use morphological processing techniques to isolate the gas plume while simultaneously rejecting nearly all false alarms. Results will be demonstrated on a set of ground-based long-wave infrared hyperspectral image sequences.

Paper Details

Date Published: 21 April 2008
PDF: 12 pages
Proc. SPIE 6954, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing IX, 69540R (21 April 2008); doi: 10.1117/12.784707
Show Author Affiliations
Joshua B. Broadwater, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Thomas S. Spisz, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Alison K. Carr, The Johns Hopkins Univ. Applied Physics Lab. (United States)


Published in SPIE Proceedings Vol. 6954:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing IX
Augustus Way Fountain; Patrick J. Gardner, Editor(s)

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