Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Classification of Raman Spectra to Detect Hidden Explosives
Show others and affiliations
Responsible organisation
2011 (English)In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, ISSN 1545-598X, Vol. 8, no 3, p. 517-521Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2011. Vol. 8, no 3, p. 517-521
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-7543DOI: 10.1109/LGRS.2010.2089970ISI: 000289899000027Local ID: oai:bth.se:forskinfoA2EC6E52E1F1A4B0C12578AF00459A1EOAI: oai:DiVA.org:bth-7543DiVA, id: diva2:835168
Available from: 2012-09-18 Created: 2011-06-14 Last updated: 2022-05-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Nilsson, Mikael

Search in DiVA

By author/editor
Nilsson, Mikael
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 196 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf