Paper
11 January 2023 Hyperspectral imaging through partially transparent media
Andrew Campbell, Jaime Zabalza, Paul Murray, Stephen Marshall, Simon Malone
Author Affiliations +
Abstract
The operation of hyperspectral imaging systems in industrial environments can be a challenge. In the nuclear industry, partially transparent elements such as gloveboxes or panels are often used to cover samples for protection against the risk of contamination. In practical terms, this means that the hyperspectral sensors can only capture data through partially transparent media, which interferes the vision between sensor and sample. Representative examples of these media are Polymethyl Methacrylate (PMMA) or acrylic and Polycarbonate (PC). In this work, we evaluate the effect that the transparent media can have on the data when captured under these conditions, where transparent materials are placed between sensor and sample. Experiments include hyperspectral images of the same samples captured with and without panel obstruction for a direct comparison of spectral responses, suggesting potential artificial intelligence techniques and methods to identify these effects and mitigate them.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Campbell, Jaime Zabalza, Paul Murray, Stephen Marshall, and Simon Malone "Hyperspectral imaging through partially transparent media", Proc. SPIE 12338, Hyperspectral Imaging and Applications II, 123380B (11 January 2023); https://doi.org/10.1117/12.2653629
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KEYWORDS
Cameras

Calibration

Absorption

Glasses

Hyperspectral imaging

Short wave infrared radiation

Polymethylmethacrylate

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