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)

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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.

ORCID iDs

Campbell, Andrew ORCID: https://orcid.org/0000-0002-4439-3630

Zabalza, Jaime ORCID: https://orcid.org/0000-0002-0634-1725

Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276

Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628

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• Item metadata

  Item type:	Book Section
  ID code:	84527
  Dates:	Date Event 11 January 2023 Published 30 August 2022 Accepted
  Notes:	Copyright 2023 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
  Subjects:	Science > Physics
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	03 Mar 2023 11:31
  Last modified:	11 Nov 2024 15:32
  URI:	https://strathprints.strath.ac.uk/id/eprint/84527