A novel method for sensitivity modelling of optical gas imaging thermal cameras with warm filters

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Quantitative Infrared Thermography Journal Pub Date : 2021-08-11 DOI:10.1080/17686733.2021.1962096
R. Olbrycht
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引用次数: 4

Abstract

ABSTRACT The work proposes a novel method for sensitivity modelling of uncooled thermal cameras for optical gas imaging purposes. Such cameras use warm interference filters for better gas leak contrast at the cost of decreased sensitivity. With the presented method, it is possible to estimate this sensitivity without the need for physically installing a filter inside the camera. It can be done for any chosen background temperature and an arbitrary filter with known spectral transmission characteristic, which is often found in the filter manufacturer’s documentation. The proposed method requires prior measurement of the camera calibration curve before filter installation. In addition, this method may be used for estimating, how camera noise equivalent temperature difference will change after filter installation. With the aid of new parameter gas equivalent blackbody digital level difference, one may also verify, whether in particular measurement scenario gas leak will be visible or not. The performance of the proposed method is validated with five different filters and broadband uncooled thermal imaging camera.
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热滤光片光学气体成像热像仪灵敏度建模的新方法
摘要本文提出了一种用于光学气体成像的非制冷热像仪灵敏度建模的新方法。这种相机以降低灵敏度为代价,使用热干涉滤光片以获得更好的气体泄漏对比度。利用所提出的方法,可以在不需要在相机内部物理安装滤波器的情况下估计这种灵敏度。它可以用于任何选定的背景温度和具有已知光谱透射特性的任意滤波器,这通常在滤波器制造商的文件中找到。所提出的方法需要在安装滤波器之前预先测量相机校准曲线。此外,该方法可用于估计安装滤波器后摄像机噪声等效温差的变化。借助于新的参数气体等效黑体数字电平差,还可以验证在特定的测量场景中气体泄漏是否可见。用五种不同的滤波器和宽带非制冷热成像相机验证了该方法的性能。
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来源期刊
Quantitative Infrared Thermography Journal
Quantitative Infrared Thermography Journal Physics and Astronomy-Instrumentation
CiteScore
6.80
自引率
12.00%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Quantitative InfraRed Thermography Journal (QIRT) provides a forum for industry and academia to discuss the latest developments of instrumentation, theoretical and experimental practices, data reduction, and image processing related to infrared thermography.
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