Stuart, M.B. orcid.org/0000-0002-3187-9164, McGonigle, A.J.S. orcid.org/0000-0002-0234-9981, Davies, M. orcid.org/0000-0002-3486-3539 et al. (6 more authors) (2021) Low-cost hyperspectral imaging with a smartphone. Journal of Imaging, 7 (8). 136.
Abstract
Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 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 (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | hyperspectral; smartphone; low-cost; environmental monitoring; field deployable; portable |
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) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/M009106/1; 2117397 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Aug 2021 10:33 |
Last Modified: | 11 Aug 2021 10:33 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/jimaging7080136 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176937 |