Paper
4 January 2008 Studies on the detection and identification of the explosives in the terahertz range
Qing-li Zhou, Cun-lin Zhang, Wei-Wei Li, Kai-jun Mu
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qing-li Zhou, Cun-lin Zhang, Wei-Wei Li, and Kai-jun Mu "Studies on the detection and identification of the explosives in the terahertz range", Proc. SPIE 6840, Terahertz Photonics, 68400Z (4 January 2008); https://doi.org/10.1117/12.760188
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Explosives

Terahertz radiation

Absorption

Data modeling

Mathematical modeling

Spectroscopy

Artificial neural networks

Back to Top