Plasmonic enhanced terahertz time-domain spectroscopy system for identification of common explosives

被引：0
作者：
Demirag, Yigit [1 ]
Butun, Bayram [2 ]
Ozbay, Ekmel [1 ,2 ,3 ]
机构：
[1] Bilkent Univ, Dept Elect & Elect Engn, Ankara, Turkey
[2] Bilkent Univ, Nanotechnol Res Ctr, Ankara, Turkey
[3] Bilkent Univ, Dept Phys, Ankara, Turkey
来源：
NEXT-GENERATION SPECTROSCOPIC TECHNOLOGIES X | 2017年 / 10210卷
关键词：
Terahertz; spectroscopy; classification; algorithm; explosive; THZ;
D O I：
10.1117/12.2264953
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：6
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