Detecting unknown gas clouds with multispectral imagery based on spectral angle matching

Kun Li; Yaohang Hu; Lingzhi Wang; Zhixiong Yang; Boyang Wang; Mingyao Yuan; Weilai Li; Chunchao Yu; Weijian Zheng

doi:10.1117/12.2662678

12 April 2023 Detecting unknown gas clouds with multispectral imagery based on spectral angle matching

Kun Li, Yaohang Hu, Lingzhi Wang, Zhixiong Yang, Boyang Wang, Mingyao Yuan, Weilai Li, Chunchao Yu, Weijian Zheng

Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 125652J (2023) https://doi.org/10.1117/12.2662678
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China

Abstract

The fields of safety production, environmental monitoring, public safety, and other areas all benefit greatly from the use of gas detection technologies. The infrared image can represent the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during hazardous chemical accident rescue. One of the major challenges in gas detection based on infrared imaging is how to choose and gather the spectral information of the gas. It determines the properties of the complete imaging system, including its complexity, the kinds of gases that may be detected, and the sensitivity of the detection. In this paper, a gas detection system based on multispectral infrared imaging was designed, which used short pass and long pass filters to separate light. It was composed of imaging optical system, uncooled focal plane detector, filter wheel and data acquisition and processing system. The rotating filter wheel was used to separate the radiation of the object to obtaining images with different spectral information. Using image processing techniques like image subtraction and spectral angle mapping, the diffusion zone of a gas was estimated. The identified gas cloud was color-mapped in the infrared image. The infrared image had a resolution of 640 × 512, and the time from gas leakage to warning was less than two seconds. The working band of the system was 6.5-14.5 μm, and the real time detection of NH₃, SF₆, CH₄, SO₂ was realized.

Citation Download Citation

Kun Li, Yaohang Hu, Lingzhi Wang, Zhixiong Yang, Boyang Wang, Mingyao Yuan, Weilai Li, Chunchao Yu, and Weijian Zheng "Detecting unknown gas clouds with multispectral imagery based on spectral angle matching", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 125652J (12 April 2023); https://doi.org/10.1117/12.2662678

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KEYWORDS

Infrared imaging

Infrared radiation

Optical filters

Image filtering

Gases

Absorption

Infrared detectors

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