| Title | Classification of Raman Spectra to Detect Hidden Explosives |
| Authors | Naveed Butt, Mikael Nilsson, Andreas Jakobsson, Magnus Nordberg, Anna Pettersson, Sara Wallin, Henric Östmark |
| Alternative Location | http://dx.doi.org/10.1109/L..., Restricted Access |
| Publication | IEEE Geoscience and Remote Sensing Letters |
| Year | 2011 |
| Volume | 8 |
| Issue | 3 |
| Pages | 517 - 521 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE-Inst Electrical Electronics Engineers Inc |
| Abstract English | 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. |
| Keywords | Raman spectroscopy, explosives, detection, Correlation-bound, |
| ISBN/ISSN/Other | ISSN: 1545-598X |
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