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Classification of Raman Spectra to Detect Hidden Explosives
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2011 (English)In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , ISSN 1545-598X , Vol. 8, no 3, 517-521 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2011. Vol. 8, no 3, 517-521 p.
National Category
Signal Processing
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URN: urn:nbn:se:bth-7543DOI: dx.doi.org/10.1109/LGRS.2010.2089970ISI: 000289899000027Local ID: oai:bth.se:forskinfoA2EC6E52E1F1A4B0C12578AF00459A1EOAI: oai:DiVA.org:bth-7543DiVA: diva2:835168
Available from: 2012-09-18 Created: 2011-06-14 Last updated: 2015-06-30Bibliographically approved

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Nilsson, Mikael
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