Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager
We describe the various steps of a gas imaging algorithm developed for detecting, identifying, and quantifying gas leaks using data from a snapshot infrared spectral imager. The spectral video stream delivered by the hardware allows the system to combine spatial, spectral, and temporal correlations...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/2/538 |
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| author | Nathan Hagen |
| author_facet | Nathan Hagen |
| author_sort | Nathan Hagen |
| collection | DOAJ |
| description | We describe the various steps of a gas imaging algorithm developed for detecting, identifying, and quantifying gas leaks using data from a snapshot infrared spectral imager. The spectral video stream delivered by the hardware allows the system to combine spatial, spectral, and temporal correlations into the gas detection algorithm, which significantly improves its measurement sensitivity in comparison to non-spectral video, and also in comparison to scanning spectral imaging. After describing the special calibration needs of the hardware, we show how to regularize the gas detection/identification for optimal performance, provide example SNR spectral images, and discuss the effects of humidity and absorption nonlinearity on detection and quantification. |
| format | Article |
| id | doaj-art-50a7d7f3d15f4c22b252b730a400da16 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-50a7d7f3d15f4c22b252b730a400da162025-01-24T13:49:16ZengMDPI AGSensors1424-82202025-01-0125253810.3390/s25020538Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral ImagerNathan Hagen0Department of Optical Engineering, Utsunomiya University, 7-2-1 Yoto, Utsunomiya 321-8585, JapanWe describe the various steps of a gas imaging algorithm developed for detecting, identifying, and quantifying gas leaks using data from a snapshot infrared spectral imager. The spectral video stream delivered by the hardware allows the system to combine spatial, spectral, and temporal correlations into the gas detection algorithm, which significantly improves its measurement sensitivity in comparison to non-spectral video, and also in comparison to scanning spectral imaging. After describing the special calibration needs of the hardware, we show how to regularize the gas detection/identification for optimal performance, provide example SNR spectral images, and discuss the effects of humidity and absorption nonlinearity on detection and quantification.https://www.mdpi.com/1424-8220/25/2/538gas detectioninfrared imagingleak rateemissions quantificationspectral imagingautonomous sensing |
| spellingShingle | Nathan Hagen Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager Sensors gas detection infrared imaging leak rate emissions quantification spectral imaging autonomous sensing |
| title | Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager |
| title_full | Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager |
| title_fullStr | Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager |
| title_full_unstemmed | Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager |
| title_short | Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager |
| title_sort | real time quantification of gas leaks using a snapshot infrared spectral imager |
| topic | gas detection infrared imaging leak rate emissions quantification spectral imaging autonomous sensing |
| url | https://www.mdpi.com/1424-8220/25/2/538 |
| work_keys_str_mv | AT nathanhagen realtimequantificationofgasleaksusingasnapshotinfraredspectralimager |