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Advanced LWIR hyperspectral sensor for on-the-move proximal detection of liquid/solid contaminants on surfaces
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Paper Abstract

Sensor technologies capable of detecting low vapor pressure liquid surface contaminants, as well as solids, in a noncontact fashion while on-the-move continues to be an important need for the U.S. Army. In this paper, we discuss the development of a long-wave infrared (LWIR, 8-10.5 μm) spatial heterodyne spectrometer coupled with an LWIR illuminator and an automated detection algorithm for detection of surface contaminants from a moving vehicle. The system is designed to detect surface contaminants by repetitively collecting LWIR reflectance spectra of the ground. Detection and identification of surface contaminants is based on spectral correlation of the measured LWIR ground reflectance spectra with high fidelity library spectra and the system’s cumulative binary detection response from the sampled ground. We present the concepts of the detection algorithm through a discussion of the system signal model. In addition, we present reflectance spectra of surfaces contaminated with a liquid CWA simulant, triethyl phosphate (TEP), and a solid simulant, acetaminophen acquired while the sensor was stationary and on-the-move. Surfaces included CARC painted steel, asphalt, concrete, and sand. The data collected was analyzed to determine the probability of detecting 800 μm diameter contaminant particles at a 0.5 g/m2 areal density with the SHSCAD traversing a surface.

Paper Details

Date Published: 4 May 2017
PDF: 20 pages
Proc. SPIE 10183, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII, 1018305 (4 May 2017); doi: 10.1117/12.2263390
Show Author Affiliations
Jay P. Giblin, Physical Sciences Inc. (United States)
John Dixon, Physical Sciences Inc. (United States)
Julia R. Dupuis, Physical Sciences Inc. (United States)
Bogdan R. Cosofret, Physical Sciences Inc. (United States)
William J. Marinelli, Physical Sciences Inc. (United States)


Published in SPIE Proceedings Vol. 10183:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII
Augustus Way Fountain; Jason A. Guicheteau, Editor(s)

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