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.
|Title of host publication
|Proceedings - SAFE 2007
|Subtitle of host publication
|Workshop on Signal Processing Applications for Public Security and Forensics
|Institute of Electrical and Electronics Engineers Inc.
|Published - Jan 1 2007
|Workshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 - Washington, United States
Duration: Apr 11 2007 → Apr 13 2007
|Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics
|Workshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007
|4/11/07 → 4/13/07
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing