Paper
29 May 2013 Improved detection and false alarm rejection for chemical vapors using passive hyperspectral imaging
William J. Marinelli, Rex Miyashiro, Christopher M. Gittins, Daisei Konno, Shing Chang, Matt Farr, Brad Perkins
Author Affiliations +
Abstract
Two AIRIS sensors were tested at Dugway Proving Grounds against chemical agent vapor simulants. The primary objectives of the test were to: 1) assess performance of algorithm improvements designed to reduce false alarm rates with a special emphasis on solar effects, and 3) evaluate performance in target detection at 5 km.

The tests included 66 total releases comprising alternating 120 kg glacial acetic acid (GAA) and 60 kg triethyl phosphate (TEP) events. The AIRIS sensors had common algorithms, detection thresholds, and sensor parameters. The sensors used the target set defined for the Joint Service Lightweight Chemical Agent Detector (JSLSCAD) with TEP substituted for GA and GAA substituted for VX. They were exercised at two sites located at either 3 km or 5 km from the release point.

Data from the tests will be presented showing that: 1) excellent detection capability was obtained at both ranges with significantly shorter alarm times at 5 km, 2) inter-sensor comparison revealed very comparable performance, 3) false alarm rates < 1 incident per 10 hours running time over 143 hours of sensor operations were achieved, 4) algorithm improvements eliminated both solar and cloud false alarms. The algorithms enabling the improved false alarm rejection will be discussed.

The sensor technology has recently been extended to address the problem of detection of liquid and solid chemical agents and toxic industrial chemical on surfaces. The phenomenology and applicability of passive infrared hyperspectral imaging to this problem will be discussed and demonstrated.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William J. Marinelli, Rex Miyashiro, Christopher M. Gittins, Daisei Konno, Shing Chang, Matt Farr, and Brad Perkins "Improved detection and false alarm rejection for chemical vapors using passive hyperspectral imaging", Proc. SPIE 8710, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIV, 871006 (29 May 2013); https://doi.org/10.1117/12.2015322
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Clouds

Detection and tracking algorithms

Fabry–Perot interferometers

Mirrors

Target detection

Infrared imaging

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