Proceedings Paper
Optimization of sensor resolution for standoff chemical detection| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 7304:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X
Augustus W. Fountain III; Patrick J. Gardner, Editor(s)
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 III; Patrick J. Gardner, Editor(s)
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