Paper
29 May 2013 Standoff chemical D and Id with extended LWIR hyperspectral imaging spectroradiometer
Florent Prel, Louis Moreau, Hugo Lavoie, François Bouffard, Jean-Marc Thériault, Christian Vallieres, Claude Roy, Denis Dubé
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Abstract
Standoff detection and identification (D and Id) of unknown volatile chemicals such as chemical pollutants and consequences of industrial incidents has been increasingly desired for first responders and for environmental monitoring. On site gas detection sensors are commercially available and several of them can even detect more than one chemical species, however only few of them have the capabilities of detecting a wide variety of gases at long and safe distances.

The ABB Hyperspectral Imaging Spectroradiometer (MR-i), configured for gas detection detects and identifies a wide variety of chemical species including toxic industrial chemicals (TICs) and surrogates several kilometers away from the sensor. This configuration is called iCATSI for improved Compact Atmospheric Sounding Interferometer. iCATSI is a standoff passive system.

The modularity of the MR-i platform allows optimization of the detection configuration with a 256 x 256 Focal Plane Array imager or a line scanning imager both covering the long wave IR atmospheric window up to 14 μm. The uniqueness of its extended LWIR cut off enables to detect more chemicals as well as provide higher probability of detection than usual LWIR sensors.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Florent Prel, Louis Moreau, Hugo Lavoie, François Bouffard, Jean-Marc Thériault, Christian Vallieres, Claude Roy, and Denis Dubé "Standoff chemical D and Id with extended LWIR hyperspectral imaging spectroradiometer", Proc. SPIE 8710, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIV, 871003 (29 May 2013); https://doi.org/10.1117/12.2017373
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KEYWORDS
Transmittance

Atmospheric modeling

Sensors

Long wavelength infrared

Atmospheric sensing

Chemical species

Instrument modeling

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