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Imaging Fourier Transform Spectrometry of Chemical Plumes

机译:化学羽的成像傅里叶变换光谱法

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摘要

A midwave infrared (MWIR) imaging Fourier transform spectrometer (FTS), the Telops FIRST-MWE (Field-portable Imaging Radiometric Spectrometer Technology - Midwave Extended) has been utilized for the standoff detection and characterization of chemical plumes. Successful collection and analysis of MWIR hyperspectral imagery of jet engine exhaust has allowed us to produce spatial profiles of both temperature and chemical constituent concentrations of exhaust plumes. Successful characterization of this high temperature combustion event has led to the collection and analysis of hyperspectral imagery of lower temperature emissions from industrial smokestacks. This paper presents MWIR data from remote collection of hyperspectral imagery of methyl salicilate (MeS), a chemical warfare agent simulant, during the Chemical Biological Distributed Early Warning System (CBDEWS) test at Dugway Proving Grounds, UT in 2008. The data did not contain spectral lines associated with emission of MeS. However, a few broad spectral features were present in the background-subtracted plume spectra. Further analysis will be required to assign these features, and determine the utility of MWIR hyperspectral imagery for analysis of chemical warfare agent plumes.
机译:中波红外(MWIR)成像傅里叶变换光谱仪(FTS),即Telops FIRST-MWE(现场便携式成像辐射光谱仪技术-Midwave Extended)已用于化学羽的对峙检测和表征。喷气发动机排气的MWIR高光谱图像的成功收集和分析使我们能够生成排气羽的温度和化学成分浓度的空间分布图。这种高温燃烧事件的成功表征已导致收集和分析来自工业烟囱的较低温度排放的高光谱图像。本文介绍了在遥远的水杨酸甲酯(MeS)高光谱影像中收集的MWIR数据,该化学物是模拟战剂模拟物,于2008年在UT的Dugway试验场进行了化学生物分布式预警系统(CBDEWS)测试。该数据不包含与MeS发射相关的谱线。但是,在减去背景的羽状光谱中存在一些宽光谱特征。需要进一步分析以分配这些功能,并确定MWIR高光谱图像在化学战剂羽流分析中的用途。

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