5 May 2017 Plasmonic enhanced terahertz time-domain spectroscopy system for identification of common explosives
Author Affiliations +
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, 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); doi: 10.1117/12.2264953; https://doi.org/10.1117/12.2264953
PROCEEDINGS
6 PAGES


SHARE
Back to Top