Title
Classification of Raman Spectra to Detect Hidden Explosives
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.130.55
Nilsson, M.2263.24
Andreas Jakobsson340943.32
Nordberg, M.430.55