Toward UAV based compact thermal infrared hyperspectral imaging solution for real-time gas detection identification and quantification (Conference Presentation)

S. B. Tombet, F. Marcotte, E. Guyot, M. Chamberland, V. Farley
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引用次数: 1

Abstract

The integration of thermal infrared (TIR) hyperspectral systems into Unmanned Aerial Vehicles (UAVs) platforms is expected to open doors toward a wide variety of demanding thermal imaging applications ranging from academics and research to industry. Currently, the UAV remote sensing technology in TIR region is still in its infancy and the main expectations are the reduction of both, sensor sizes and cost while maintaining their performances at a high level. In this communication, we report on Telops newly designed compact, light and robust TIR hyperspectral module of less than 10 kg with about 50W of power consumption. The new module can be integrated into a complete stand-alone imager with applications such as 360˚ Hyperspectral Surveillance. Integration in complete, highly flexible UAV based, infrared hyperspectral imaging solutions, such as airborne real-time gas detection, identification and quantification is also possible. The need for a reliable and cost-efficient gas detection system is of prime importance especially when security threatening situations like gas leaks and emissions occur. The knowledge of the precise localization of the leaks, identification of the chemical nature of the gases involved and quantification of the gas flux emanating from the leaks are the crucial inputs needed for the incident response team to take actions based on relevant information. In this regard, UAVs based TIR remote sensing technology offers many benefits over traditional gas detection systems as it allows safely monitoring and imaging of large areas. The sensor can fly several hundreds of meters above the scene, avoiding the need to access restricted and potentially dangerous zones in the installations. Beside the newly designed compact and light TIR hyperspectral module, Telops have also developed solutions for gas detection and identification along with some tools for the quantification of gas flow rates emanating for leak source. These solutions were recently demonstrated during a flight campaign up to 4600 feet above the ground for detection and identification of ethylene, methanol and acetone gas release experiment. The Fourier transform technology used in our hyperspectral imaging systems on an airborne platform allows recording of airborne hyperspectral data using mapping and targeting modes. These two acquisition modes were used for gas detection and real time quantitative airborne chemical images of the three gas clouds were obtained paving the path toward a viable solution for gas leak surveys and environmental monitoring.
基于无人机的紧凑型热红外高光谱成像实时气体检测识别与定量解决方案(会议报告)
将热红外(TIR)高光谱系统集成到无人机(uav)平台中,有望为从学术、研究到工业的各种高要求热成像应用打开大门。目前,TIR区域的无人机遥感技术仍处于起步阶段,主要期望是在保持高水平性能的同时减小传感器尺寸和成本。在本次通信中,我们报告了Telops新设计的紧凑、轻便、坚固的TIR高光谱模块,该模块小于10公斤,功耗约为50W。新模块可以集成到完整的独立成像仪中,用于360˚高光谱监视等应用。集成在完整的、高度灵活的无人机基础上,红外高光谱成像解决方案,如机载实时气体检测、识别和量化也成为可能。对可靠且经济高效的气体检测系统的需求至关重要,特别是在发生气体泄漏和排放等安全威胁情况时。了解泄漏的精确位置、确定所涉气体的化学性质和定量泄漏产生的气体通量是事件响应小组根据相关信息采取行动所需的关键投入。在这方面,基于无人机的TIR遥感技术比传统的气体检测系统提供了许多好处,因为它可以安全地监测和成像大面积。传感器可以在现场上方数百米的地方飞行,避免了进入限制区域和潜在危险区域的需要。除了新设计的紧凑轻便的TIR高光谱模块外,Telops还开发了气体检测和识别解决方案,以及一些用于定量泄漏源气体流速的工具。这些解决方案最近在距离地面4600英尺的飞行活动中进行了演示,用于检测和识别乙烯、甲醇和丙酮气体释放实验。在机载平台的高光谱成像系统中使用的傅里叶变换技术允许使用映射和目标模式记录机载高光谱数据。将这两种采集模式用于气体检测,获得了三种气体云的实时定量空气化学图像,为气体泄漏调查和环境监测提供了可行的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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