An Improved Classification Scheme for Standoff Detection of Explosives via Raman Spectroscopy

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Naveed R. Butt, Mikael Nilsson, Andreas Jakobsson, Magnus Nordberg, Anna Pettersson, Sara Wallin, Henric Östmark
Title: An Improved Classification Scheme for Standoff Detection of Explosives via Raman Spectroscopy
Conference name: 18th European Signal Processing Conference, EUSIPCO
Year: 2010
Pagination: 1846-1850
Publisher: Eurasip
City: Aalborg
Other identifiers: ISSN 2076-1465
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Electrical Engineering (Sektionen för ingenjörsvetenskap - Avd. för elektroteknik)
School of Engineering S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/ing/
Authors e-mail: mkn@bth.se
Language: English
Abstract: Raman spectroscopy is a laser-based vibrational tech-
nique 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 work, we present a computationally e±cient clas-
si¯cation scheme for accurate stando® identi¯cation 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 both harmful
and commonplace substances. The results show that
the proposed approach can, at a distance of 30 me-
ters, or more, successfully classify measured Raman
spectra from several explosive substances, including
Nitromethane, TNT, DNT, Hydrogen Peroxide, TATP
and Ammonium Nitrate.
Subject: Signal Processing\Detection and Classification
Signal processing\Image and Video Processing
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