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. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/LGRS.2010.2089970 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
Raman spectra,explosives,measurement by laser beam,visible spectra,Raman spectra classification,distance 30 m,hidden explosives detection,laser-based vibrational technique,sensitivity,spectral signatures,visible range Raman spectroscopy,Correlation-bound,Raman spectroscopy,detection,explosives | Nitromethane,Biological system,Trinitrotoluene,Classification scheme,Remote sensing,Explosive material,Optics,Raman scattering,Laser,Raman spectroscopy,Spectral signature,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 3 | 1545-598X |
Citations | PageRank | References |
3 | 0.55 | 1 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Butt, N.R. | 1 | 3 | 0.55 |
Nilsson, M. | 2 | 26 | 3.24 |
Andreas Jakobsson | 3 | 409 | 43.32 |
Nordberg, M. | 4 | 3 | 0.55 |