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Proceedings Paper

Studies on the detection and identification of the explosives in the terahertz range
Author(s): Qing-li Zhou; Cun-lin Zhang; Wei-Wei Li; Kai-jun Mu
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Paper Abstract

The sensing of the explosives and the related compounds is very important for homeland security and defense. Based on the non-invasive terahertz (THz) technology, we have studied some pure and mixed explosives by using the THz time-domain spectroscopy and have obtained the absorption spectra of those samples. The obtained results show that those explosives can be identified due to their different characterized finger-prints in the terahertz frequency region of 0.2-2.5 THz. Furthermore, the spectra analyses indicate that the shape and peak positions of the spectra for these mixed explosive are mainly determined by their explosive components. In order to identify those different kinds of explosives, we have applied the artificial neural network, which is a mathematical device for modeling complex and non-linear functionalities, to our present work. After the repetitive modeling and adequate training with the known input-output data, the identification of the explosive is realized roughly on a multi-hidden-layers model. It is shown that the neural network analyses of the THz spectra would positively identify the explosives and reduce false alarm rates.

Paper Details

Date Published: 4 January 2008
PDF: 8 pages
Proc. SPIE 6840, Terahertz Photonics, 68400Z (4 January 2008); doi: 10.1117/12.760188
Show Author Affiliations
Qing-li Zhou, Capital Normal Univ. (China)
Cun-lin Zhang, Capital Normal Univ. (China)
Wei-Wei Li, Capital Normal Univ. (China)
Kai-jun Mu, Capital Normal Univ. (China)

Published in SPIE Proceedings Vol. 6840:
Terahertz Photonics
Cunlin Zhang; Xi-Cheng Zhang, Editor(s)

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