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Proceedings Paper

Optimization of sensor resolution for standoff chemical detection
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Paper Abstract

Fourier transform infrared spectroscopy is a standard technique for remote detection of gaseous vapors. However, as algorithms mature and hyperspectral imaging in the longwave infrared becomes more prominent in ground based applications it is important to determine optimum parameters for detection due to potentially high data rates. One parameter, spectral resolution, is of particular interest because 1) it can be easily changed and 2) it has significant effect on the data rate. The following presents a mathematical foundation for determining the spectral resolution for vapor detection in the presence of atmospheric interferants such as water vapor and ozone. Results are validated using real-world long wave infrared hyperspectral data of several open air chemical simulant releases.

Paper Details

Date Published: 30 June 2009
PDF: 10 pages
Proc. SPIE 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X, 73040Q (30 June 2009); doi: 10.1117/12.819266
Show Author Affiliations
Joshua Broadwater, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Alison Carr, The Johns Hopkins Univ. Applied Physics Lab. (United States)


Published in SPIE Proceedings Vol. 7304:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X
Augustus W. Fountain; Patrick J. Gardner, Editor(s)

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