Explosive identification with terahertz spectroscopy: A model based approach

I. Zorych A. Sinyukov, Zoi-Heleni Michalopoulou, Dale Gary, Robert Barat, John Federici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The newly urgent need for extensive, reliable, and fast screening for the identification of explosives stemming from public safety and homeland security concerns has stimulated the search for efficient, quantitative detectors and classifiers. Spectroscopic analysis in the terahertz frequency range is proposed as an efficient and powerful tool for explosive identification. It is shown that spectral responses of materials can be used as "signatures" that distinguish explosive agents from other classes of materials. A simple least squares criterion is employed, comparing measured spectra to model reference spectra, with fast and consistent explosive identification. Results with both real and synthetic data are presented.

Original languageEnglish (US)
Title of host publicationProceedings - SAFE 2007
Subtitle of host publicationWorkshop on Signal Processing Applications for Public Security and Forensics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)1424412269, 9781424412266
StatePublished - 2007
EventWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 - Washington, United States
Duration: Apr 11 2007Apr 13 2007

Publication series

NameProceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics

Other

OtherWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007
Country/TerritoryUnited States
CityWashington
Period4/11/074/13/07

All Science Journal Classification (ASJC) codes

  • Law
  • Computer Vision and Pattern Recognition
  • Signal Processing

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