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 |
