非制冷快照式红外视频光谱成像仪及其数据处理  

Uncooled Snapshot Infrared Video Spectrometer and Its Data Processing

作　　者：孔艳洁 杨扬 刘成玉[1] 王朋宇 李春来[1] KONG Yanjie;YANG Yang;LIU Chengyu;WANG Pengyu;LI Chunlai(Key Laboratory of Space Active Optical-Electro Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院上海技术物理研究所中国科学院空间主动光电技术重点实验室,上海200083 [2]中国科学院大学,北京100049

出　　处：《红外技术》2024年第10期1192-1200,共9页Infrared Technology

基　　金：中国科学院青年创新促进会优秀会员(Y2021071,Y202058);“十四五”国防预研基金。

摘　　要：随着现代社会的工业化进程和快速发展,工业生产中的危险化学气体泄漏严重危及人身财产安全。如何有效检测污染气体的存在并获取气体的浓度和分布等信息,成为气体泄漏检测的重要课题。非制冷快照式红外视频光谱成像仪(Uncooled Snapshot Infrared Video Spectrometer,USIVS)是一种理想的硬件方案,能够直接从图像中感知危险化学气体的存在并获取危险化学气体的位置,为紧急处置提供有力支持。但是,商业化的轻量级被动式红外光谱成像仪的灵敏度和光谱分辨率相对受限,已有的气体浓度反演方法难以准确检测污染气体的存在。本文介绍了一种基于非制冷快照式红外视频光谱成像仪及其适用的数据处理技术流程。利用气体浓度反演方法对不同温度和光程长度下的气体进行了模拟实验,并得到了较为准确的反演结果,平均误差分别为2.88%和0.61%。在实验室和室外场景下进行了气体浓度反演方法的测量实验,结果表明该算法具有较好的稳定性,平均误差分别为6.18%和7.47%。通过USIVS与数据处理技术流程的有效结合,能够快速准确地检测污染气体的存在并给出图像中每个像素的气体浓度,实现气云浓度反演的效果,为后续该类技术的商业化及实用化提供了参考。Owing to industrialization and the rapid development of modern society,the leakage of dangerous chemical gases in industrial production seriously endangers the safety of human life and property.Effectively detecting the presence of contaminated gas and obtaining information on the gas concentration and distribution have become important topics in gas leakage detection.Uncooled Snapshot Infrared Video Spectrometer(USIVS)is an ideal hardware scheme that can directly perceive the existence of dangerous chemical gas from the image and obtain the position of dangerous chemical gas to provide strong support for emergency responses.However,the sensitivity and spectral resolution of commercial lightweight passive infrared spectral imagers are relatively limited,and it is difficult to accurately detect the presence of polluted gases using existing inversion methods.In this study,an infrared video spectral imager is introduced based on an uncooled snapshot and its applicable data-processing technology.The gas concentration inversion method is used to simulate gas at different temperatures and optical path lengths,and the inversion results are relatively accurate,with average errors of 2.88%and 0.61%,respectively.The gas concentration inversion method is tested in laboratory and outdoor settings.The results show that the algorithm has good stability with average errors of 6.18%and 7.47%.The effective combination of USIVS and data processing technology can quickly and accurately detect the presence of polluted gas and provide the gas concentration of each pixel in the image.This in turn can realize gas cloud concentration inversion,providing a reference for the commercialization and practical application of this technology in the future.

关 键 词：红外辐射 视频光谱成像 气体浓度反演 数据处理流程 

分 类 号：TN216[电子电信—物理电子学]