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Wide-Area Mapping and Identification System for Detection of Chemical Contamination on Surfaces

机译:用于检测表面化学污染物的广域制图和识别系统

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The detection of chemical hazards on surfaces continues to be a challenge for the sensing community. In order tominimize risk to users, a desirable configuration is a non-contact (standoff) system, which can operate a safe distancefrom the hazard. A conceptual solution to this challenge is the Wide-Area Mapping and Identification (WAMId) system.The WAMId prototype breadboard combines two distinct technologies, hyperspectral imaging and standoff Ramanspectroscopy, operating in tandem to locate and identify anomalous areas of interest and then presumptively identifysurface contaminates. In the developed configuration, a single short to mid wave infrared (SWIR/MWIR) hyperspectralcamera images a scene of interest, data is processed to locate anomalous materials and the resulting coordinates from thescene are uploaded to a gimbal control which then slews an 830 nm Raman system to perform presumptive identificationmeasurements. In this work, we present the results of the program, to include system development, and sample testingdata for three chemicals.
机译:表面化学危害的检测仍然是传感领域的一个挑战。为了 将对用户的风险降至最低,理想的配置是非接触式(对峙)系统,该系统可以安全地行驶 从危险。应对这一挑战的概念性解决方案是广域制图和识别(WAMId)系统。 WAMId原型面包板结合了两种不同的技术,即高光谱成像和对峙拉曼 光谱学,串联操作以定位和识别异常感兴趣的区域,然后推测性地识别 表面污染。在已开发的配置中,单个短至中波红外(SWIR / MWIR)高光谱 相机对感兴趣的场景成像,然后对数据进行处理以找到异常材料,并从 场景被上载到一个万向节控件,然后该控件摆好830 nm拉曼系统以进行推测性识别 测量。在这项工作中,我们介绍了程序的结果,包括系统开发和样本测试 三种化学物质的数据。

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