Detecting unknown chemical clouds at distance with multispectral imagery

Sylvain Favier; Aymeric Alazarine; Manon Verneau; Romain Verollet; Sébastien Blanchard

doi:10.1117/12.2275270

3 May 2017 Detecting unknown chemical clouds at distance with multispectral imagery

Sylvain Favier, Aymeric Alazarine, Manon Verneau, Romain Verollet, Sébastien Blanchard

Proceedings Volume 10183, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII; 101830C (2017) https://doi.org/10.1117/12.2275270
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

In the past, chemical incidents or attacks have often involved mixtures of chemicals or fractional formulations of toxic compounds. Terrorist groups are also likely to generate new toxic chemical agents. These situations involve unknown compounds and thus may be undetectable using traditional methods. Indeed, standoff gas detection with infrared devices traditionally relies on the comparison between measured signal and a library of signals included in a database. Observing the gas absorption in infrared band III (LWIR 8-14 μm), our multispectral infrared camera is used to detect gas clouds up to a range of several kilometers, to provide identification of gas type and to follow the motion of the cloud in real time. The approach described in this paper develops an algorithm that enables the device to detect gas even if the measured signature is not in the database – a pattern-matching-free algorithm. This detection process has been evaluated in the laboratory and subjected to significant experimental feedback. The results are a capability to detect unknown gases and gas mixtures.

Citation Download Citation

Sylvain Favier, Aymeric Alazarine, Manon Verneau, Romain Verollet, and Sébastien Blanchard "Detecting unknown chemical clouds at distance with multispectral imagery", Proc. SPIE 10183, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII, 101830C (3 May 2017); https://doi.org/10.1117/12.2275270

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