Optimization of sensor resolution for standoff chemical detection

Joshua Broadwater; Alison Carr

doi:10.1117/12.819266

30 June 2009 Optimization of sensor resolution for standoff chemical detection

Joshua Broadwater, Alison Carr

Proceedings Volume 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X; 73040Q (2009) https://doi.org/10.1117/12.819266
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Joshua Broadwater and Alison Carr "Optimization of sensor resolution for standoff chemical detection", Proc. SPIE 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X, 73040Q (30 June 2009); https://doi.org/10.1117/12.819266

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available