Paper
5 May 2017 Plasmonic enhanced terahertz time-domain spectroscopy system for identification of common explosives
Yiğit Demirağ, Bayram Bütün, Ekmel Özbay
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Abstract
In this study, we present a classification algorithm for terahertz time-domain spectroscopy systems (THz-TDS) that can be trained to identify most commonly used explosives (C4, HMX, RDX, PETN, TNT, composition-B and blackpowder) and some non-explosive samples (lactose, sucrose, PABA). Our procedure can be used in any THz-TDS system that detects either transmission or reflection spectra at room conditions. After preprocessing the signal in low THz regime (0.1 – 3 THz), our algorithm takes advantages of a latent space transformation based on principle component analysis in order to classify explosives with low false alarm rate.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiğit Demirağ, Bayram Bütün, and Ekmel Özbay "Plasmonic enhanced terahertz time-domain spectroscopy system for identification of common explosives", Proc. SPIE 10210, Next-Generation Spectroscopic Technologies X, 1021012 (5 May 2017); https://doi.org/10.1117/12.2264953
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Cited by 2 scholarly publications.
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KEYWORDS
Explosives

Terahertz spectroscopy

Terahertz radiation

Spectroscopy

Absorption

Antennas

Data modeling

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