Discrimination Between Explosive Materials and Isomers Using a Human Color Vision-Inspired Sensing Method
Abstract
This paper describes the application of a human color vision approach to infrared (IR) chemical sensing for the discrimination between multiple explosive materials deposited on aluminum substrates. This methodology classifies chemicals using the unique response of the chemical vibrational absorption bands to three broadband overlapping IR optical filters. For this effort, Fourier transform infrared (FT-IR) spectroscopy is first used to computationally examine the ability of the human color vision sensing approach to discriminate between three similar explosive materials, 1,3,5,-Trinitro-1,3,5-triazinane (RDX), 2,2-Bis[(nitrooxy)methyl]propane-1,3,-diyldinitrate (PETN), and 1,3,5,7-Tetranitro-1,3,5,7-tetrazocane (HMX). A description of a laboratory breadboard optical sensor designed for this approach is then provided, along with the discrimination results collected for these samples using this sensor. The results of these studies demonstrate that the human color vision approach is capable of high-confidence discrimination of the examined explosive materials.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 19, 2019
- Source ID
- 10.1177/0003702819828411
Entities
People
- Christopher R. Wilson
- Ishwar Aggarwal
- Jasbinder S. Sanghera
- Kenneth J Ewing
- Kevin J Major
- Menelaos Poutous
- Thomas C. Hutchens
Organizations
- Office of Naval Research
- United States Naval Research Laboratory
- University of North Carolina at Charlotte