Classification of Raman Spectra to Detect Hidden Explosives
(2011) In IEEE Geoscience and Remote Sensing Letters 8(3). p.517-521- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1691407
- author
- Butt, Naveed LU ; Nilsson, Mikael ; Jakobsson, Andreas LU ; Nordberg, Magnus ; Pettersson, Anna ; Wallin, Sara and Östmark, Henric
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Raman spectroscopy, explosives, detection, Correlation-bound
- in
- IEEE Geoscience and Remote Sensing Letters
- volume
- 8
- issue
- 3
- pages
- 517 - 521
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000289899000027
- scopus:79955524898
- ISSN
- 1545-598X
- DOI
- 10.1109/LGRS.2010.2089970
- language
- English
- LU publication?
- yes
- id
- db08f99f-a046-458c-819d-751e78bf6312 (old id 1691407)
- date added to LUP
- 2016-04-01 10:50:54
- date last changed
- 2022-01-26 03:00:59
@article{db08f99f-a046-458c-819d-751e78bf6312, 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.}}, author = {{Butt, Naveed and Nilsson, Mikael and Jakobsson, Andreas and Nordberg, Magnus and Pettersson, Anna and Wallin, Sara and Östmark, Henric}}, issn = {{1545-598X}}, keywords = {{Raman spectroscopy; explosives; detection; Correlation-bound}}, language = {{eng}}, number = {{3}}, pages = {{517--521}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Geoscience and Remote Sensing Letters}}, title = {{Classification of Raman Spectra to Detect Hidden Explosives}}, url = {{http://dx.doi.org/10.1109/LGRS.2010.2089970}}, doi = {{10.1109/LGRS.2010.2089970}}, volume = {{8}}, year = {{2011}}, }