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Classification of Raman Spectra to Detect Hidden Explosives

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7 Author(s)
Butt, N.R. ; Center for Math. Sci., Lund Univ., Lund, Sweden ; Nilsson, M. ; Jakobsson, A. ; Nordberg, M.
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Raman spectroscopy is a laser-based vibrational technique that can provide spectral signatures unique to a multitude of compounds. The technique is gaining widespread interest as a method for detecting hidden explosives due to its sensitivity and ease of use. In this letter, we present a computationally efficient classification scheme for accurate standoff identification of several common explosives using visible-range Raman spectroscopy. Using real measurements, we evaluate and modify a recent correlation-based approach to classify Raman spectra from various harmful and commonplace substances. The results show that the proposed approach can, at a distance of 30 m, or more, successfully classify measured Raman spectra from several explosive substances, including nitromethane, trinitrotoluene, dinitrotoluene, hydrogen peroxide, triacetone triperoxide, and ammonium nitrate.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:8 ,  Issue: 3 )