Compact mid-infrared single-pixel methane imaging using a spinning mask Article Swipe
Yue Wang
,
Tianle Liu
,
Qidi Wu
,
Wenjie Jiang
,
Yuan Gao
,
Yongkai Yin
,
Xiaolei Zhang
,
Xiaofei Wang
,
Shouqian Chen
,
Baoqing Sun
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.566181
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.566181
Methane, a critical fuel and industrial resource, poses significant risks to human life, property, and the environment when leaks occur during extraction, transportation, storage, or use. The ability to efficiently detect and image methane leakages is of paramount importance. This study presents what we believe to be a novel approach to methane detection based on mid-infrared single-pixel imaging, which exploits the methane’s characteristic absorption peak at 3.31 μ m. The system utilizes a spinning calcium fluoride mask to modulate the light field and reconstruct the spatial distribution of methane using a rapid reconstruction algorithm. The experimental results demonstrate the capability to image methane distributions at a distance of five meters with a resolution of 64×64 pixels, enabling real-time monitoring of dynamic gas leaks. Unlike conventional methods, this technique leverages the high sensitivity and broad spectral response of single-pixel detectors, offering distinct advantages over less mature and more expensive mid-infrared focal plane array detectors. Owing to its strong potential for practical implementation, this method provides a promising solution for gas leak monitoring in industrial operations and environmental monitoring.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.566181
- OA Status
- gold
- Cited By
- 1
- References
- 33
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411534868Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/oe.566181Digital Object Identifier
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Compact mid-infrared single-pixel methane imaging using a spinning maskWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-06-23Full publication date if available
- Authors
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Yue Wang, Tianle Liu, Qidi Wu, Wenjie Jiang, Yuan Gao, Yongkai Yin, Xiaolei Zhang, Xiaofei Wang, Shouqian Chen, Baoqing SunList of authors in order
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https://doi.org/10.1364/oe.566181Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1364/oe.566181Direct OA link when available
- Concepts
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Optics, Infrared, Spinning, Materials science, Methane, Pixel, Physics, Ecology, Composite material, BiologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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