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Classification of Raman Spectra to Detect Hidden Explosives
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2011 (engelsk)Inngår i: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , ISSN 1545-598X , Vol. 8, nr 3, s. 517-521Artikkel i tidsskrift (Fagfellevurdert) 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.

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IEEE , 2011. Vol. 8, nr 3, s. 517-521
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Identifikatorer
URN: urn:nbn:se:bth-7543DOI: dx.doi.org/10.1109/LGRS.2010.2089970ISI: 000289899000027Lokal ID: oai:bth.se:forskinfoA2EC6E52E1F1A4B0C12578AF00459A1EOAI: oai:DiVA.org:bth-7543DiVA, id: diva2:835168
Tilgjengelig fra: 2012-09-18 Laget: 2011-06-14 Sist oppdatert: 2015-06-30bibliografisk kontrollert

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