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Keywords = snapshot multispectral imaging system (SMIS)

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26 pages, 38461 KB  
Article
High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification
by Zhi Li, Hanyuan Zhang, Qiang Li, Yuxin Song, Mengyuan Chen, Shijie Liu, Dongjing Li, Chunlai Li, Jianyu Wang and Renbiao Xie
Micromachines 2026, 17(1), 112; https://doi.org/10.3390/mi17010112 - 14 Jan 2026
Abstract
Real-time monitoring of hazardous gas emissions in open environments remains a critical challenge. Conventional spectrometers and filter wheel systems acquire spectral and spatial information sequentially, which limits their ability to capture multiple gas species and dynamic dispersion patterns rapidly. A High-Resolution Snapshot Multispectral [...] Read more.
Real-time monitoring of hazardous gas emissions in open environments remains a critical challenge. Conventional spectrometers and filter wheel systems acquire spectral and spatial information sequentially, which limits their ability to capture multiple gas species and dynamic dispersion patterns rapidly. A High-Resolution Snapshot Multispectral Imaging System (HRSMIS) is proposed to integrate high spatial fidelity with multispectral capability for near real-time plume visualization, gas species identification, and concentration retrieval. Operating across the 7–14 μm spectral range, the system employs a dual-path optical configuration in which a high-resolution imaging path and a multispectral snapshot path share a common telescope, allowing for the simultaneous acquisition of fine two-dimensional spatial morphology and comprehensive spectral fingerprint information. Within the multispectral path, two 5×5 microlens arrays (MLAs) combined with a corresponding narrowband filter array generate 25 distinct spectral channels, allowing concurrent detection of up to 25 gas species in a single snapshot. The high-resolution imaging path provides detailed spatial information, facilitating spatio-spectral super-resolution fusion for multispectral data without complex image registration. The HRSMIS demonstrates modulation transfer function (MTF) values of at least 0.40 in the high-resolution channel and 0.29 in the multispectral channel. Monte Carlo tolerance analysis confirms imaging stability, enabling the real-time visualization of gas plumes and the accurate quantification of dispersion dynamics and temporal concentration variations. Full article
(This article belongs to the Special Issue Gas Sensors: From Fundamental Research to Applications, 2nd Edition)
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