Classification of Raman Spectra to Detect Hidden Explosives
| Document type: | Journal Articles |
|---|---|
| Article type: | Original article |
| Peer reviewed: | Yes |
| Author(s): | Naveed R. Butt, Mikael Nilsson, Andreas Jakobsson, Markus Nordberg, Anna Pettersson, Sara Wallin, Henric Östmark |
| Title: | Classification of Raman Spectra to Detect Hidden Explosives |
| Journal: | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS |
| Year: | 2011 |
| Volume: | 8 |
| Issue: | 3 |
| Pagination: | 517-521 |
| ISSN: | 1545-598X |
| Publisher: | IEEE |
| URI/DOI: | dx.doi.org/10.1109/LGRS.2010.2089970 |
| ISI number: | 000289899000027 |
| 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 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. |
| Subject: | Signal Processing\Detection and Classification Signal processing\Image and Video Processing |
