High-resolution hyperspectral imaging using low-cost components: application within environmental monitoring scenarios

Stuart, M. orcid.org/0000-0002-3187-9164, Davies, M., Hobbs, M. et al. (3 more authors) (2022) High-resolution hyperspectral imaging using low-cost components: application within environmental monitoring scenarios. Sensors, 22 (12). 4652. ISSN 1424-8220

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 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 (https://creativecommons.org/licenses/by/4.0/).
Keywords: hyperspectral; low-cost; high-resolution; environmental monitoring
Dates:
  • Accepted: 17 June 2022
  • Published (online): 20 June 2022
  • Published: 20 June 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research Council2117397
Depositing User: Symplectic Sheffield
Date Deposited: 21 Jun 2022 13:12
Last Modified: 21 Jun 2022 14:16
Published Version: https://www.mdpi.com/1424-8220/22/12/4652
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/s22124652

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