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Imaging Fourier Transform Spectrometry of Chemical Plumes

机译:成像傅里叶变换化学羽毛的光谱法

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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:半波形红外(MWIR)成像傅里叶变换光谱仪(FTS),纺织第一MWE(现场便携式成像辐射谱仪技术 - 中华延伸)已被用于高达检测和化学羽毛的特征。射流发动机排气的MWIR高光谱图像的成功收集和分析使我们能够产生温度和化学成分浓度的排气羽毛的空间型材。这种高温燃烧事件的成功表征导致了工业烟囱较低温度排放的高光谱图像的收集和分析。本文介绍了来自奥基甲基(MES)的高光谱图像的MWIR数据,化学战争试剂模拟剂,在Dugway Proving Grounds的化学生物分布式预警系统(CBDews)试验中,2008年。数据没有包含与MES发射相关的光谱线。然而,在背景减去的羽流频谱中存在一些广泛的光谱特征。将进一步分析来分配这些功能,并确定MWIR高光谱图像的效用,以分析化学战层羽毛。

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