Hyperspectral imaging through partially transparent media

Campbell, Andrew and Zabalza, Jaime and Murray, Paul and Marshall, Stephen and Malone, Simon; Barnett, Nick J. and Gowen, Aoife A. and Liang, Haida, eds. (2023) Hyperspectral imaging through partially transparent media. In: Hyperspectral Imaging and Applications II. SPIE, GBR. ISBN 9781510657496 (https://doi.org/10.1117/12.2653629)

[thumbnail of Campbell-etal-SPIE-HIA-2023-Hyperspectral-imaging-through-partially]
Preview
Text. Filename: Campbell_etal_SPIE_HIA_2023_Hyperspectral_imaging_through_partially.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial 4.0 logo

Download (1MB)| Preview

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.