UV Spectral Imaging for Gas ID and Material ID

用于气体 ID 和材料 ID 的紫外光谱成像

• 批准号: 0433589
• 负责人: Richard Olsen
• 金额: $ 19.96万
• 依托单位: Naval Postgraduate School
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0433589&HistoricalAwards=false
• 关键词: UV; Spectral; Imaging; Gas; ID

Spectral imaging is an emerging technology that offers great promise for target identification (ID), terrain classification, gas detection, and similar applications. Most of the work in this area has been done in the traditional portions of the EM spectrum used for reconnaissance, the visible and infrared. The UV portion of the spectrum is typically discounted because of the decreasing light levels at short wavelengths. There is, however, sufficient light from 0.3-0.4 microns to conduct spectral measurements and imaging, and enhanced sensitivity to gases and other materials. There are downsides to this spectral range: scattering is a significant problem, and spatial resolution is degraded. This effort would move laboratory instrumentation for UV spectral imaging for gas detection into the field to test real situation data acquisition and quantify the level of noise in the signal. In addition, a laboratory test of UV spectral imaging of materials will be undertaken. There are strong theoretical grounds for believing this will be a new, useful technology for emerging materials detection. The use of UV photographs as image data will also be explored using new chips. In combination with the field test, the alternative chip technology offers an opportunity to create a calibrated system that could be used for real-time imaging detection of noxious gas plumes using a portable sensor. Applications include smoke stacks and volcanic plumes. Part of the field test will be coordinated through the University of Hawaii, Manoa.

光谱成像是一项新兴技术，为目标识别（ID）、地形分类、气体检测和类似应用提供了巨大的前景。该领域的大部分工作都是在用于侦察的EM频谱的传统部分，即可见光和红外光谱中完成的。光谱的紫外部分通常是打折的，因为在短波长的光水平下降。然而，有足够的0.3-0.4微米的光来进行光谱测量和成像，并提高了对气体和其他物质的灵敏度。这个光谱范围也有缺点：散射是一个严重的问题，而且空间分辨率会降低。这项工作将把用于气体检测的紫外光谱成像的实验室仪器转移到现场，以测试真实情况的数据采集并量化信号中的噪声水平。此外，还将对材料的紫外光谱成像进行实验室测试。有强大的理论基础相信这将是一种新的，有用的新兴材料检测技术。此外，我们亦会利用新的晶片，探索利用紫外线照片作为影像资料。结合现场测试，替代芯片技术提供了创建校准系统的机会，该系统可用于使用便携式传感器对有毒气体羽流进行实时成像检测。应用包括烟囱和火山羽流。部分实地测试将通过夏威夷大学马诺阿分校进行协调。