Stuart, M.B. orcid.org/0000-0002-3187-9164, Stanger, L.R. orcid.org/0000-0003-4853-1399, Hobbs, M.J. orcid.org/0000-0003-4661-692X et al. (4 more authors) (2020) Low-cost hyperspectral imaging system: Design and testing for laboratory-based environmental applications. Sensors, 20 (11). 3293. ISSN 1424-8220
Abstract
The recent surge in the development of low-cost, miniaturised technologies provides a significant opportunity to develop miniaturised hyperspectral imagers at a fraction of the cost of currently available commercial set-ups. This article introduces a low-cost laboratory-based hyperspectral imager developed using commercially available components. The imager is capable of quantitative and qualitative hyperspectral measurements, and it was tested in a variety of laboratory-based environmental applications where it demonstrated its ability to collect data that correlates well with existing datasets. In its current format, the imager is an accurate laboratory measurement tool, with significant potential for ongoing future developments. It represents an initial development in accessible hyperspectral technologies, providing a robust basis for future improvements.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | low-cost; miniature sensor; hyperspectral; laboratory-based; environmental monitoring |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Jun 2020 15:54 |
Last Modified: | 16 Jun 2020 15:54 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/s20113293 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161902 |