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Optical Engineering • Open Access

Detection of explosives by differential hyperspectral imaging
Author(s): Thierry Dubroca; Gregory Brown; Rolf E. Hummel

Paper Abstract

Our team has pioneered an explosives detection technique based on hyperspectral imaging of surfaces. Briefly, differential reflectometry (DR) shines ultraviolet (UV) and blue light on two close-by areas on a surface (for example, a piece of luggage on a moving conveyer belt). Upon reflection, the light is collected with a spectrometer combined with a charge coupled device (CCD) camera. A computer processes the data and produces in turn differential reflection spectra taken from these two adjacent areas on the surface. This differential technique is highly sensitive and provides spectroscopic data of materials, particularly of explosives. As an example, 2,4,6-trinitrotoluene displays strong and distinct features in differential reflectograms near 420 and 250 nm, that is, in the near-UV region. Similar, but distinctly different features are observed for other explosives. Finally, a custom algorithm classifies the collected spectral data and outputs an acoustic signal if a threat is detected. This paper presents the complete DR hyperspectral imager which we have designed and built from the hardware to the software, complete with an analysis of the device specifications.

Paper Details

Date Published: 5 February 2014
PDF: 8 pages
Opt. Eng. 53(2) 021112 doi: 10.1117/1.OE.53.2.021112
Published in: Optical Engineering Volume 53, Issue 2
Show Author Affiliations
Thierry Dubroca, Univ. of Florida (United States)
Gregory Brown, Univ. of Florida (United States)
Rolf E. Hummel, Univ. of Florida (United States)

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