| Autor: |
Major KJ; 1 Optical Sciences Division, US Naval Research Laboratory, Washington, DC, USA., Hutchens TC; 2 Department of Physics and Optical Science, UNC Charlotte, Charlotte, NC, USA., Wilson CR; 2 Department of Physics and Optical Science, UNC Charlotte, Charlotte, NC, USA., Poutous MK; 2 Department of Physics and Optical Science, UNC Charlotte, Charlotte, NC, USA., Aggarwal ID; 2 Department of Physics and Optical Science, UNC Charlotte, Charlotte, NC, USA.; 3 Key W Corporation, Hanover, MD, USA., Sanghera JS; 1 Optical Sciences Division, US Naval Research Laboratory, Washington, DC, USA., Ewing KJ; 1 Optical Sciences Division, US Naval Research Laboratory, Washington, DC, USA. |
| Abstrakt: |
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. |
