Davies, M. orcid.org/0000-0002-3486-3539, Stuart, M.B. orcid.org/0000-0002-3187-9164, Hobbs, M.J. orcid.org/0000-0003-4661-692X et al. (2 more authors) (2022) Image correction and in situ spectral calibration for low-cost, smartphone hyperspectral imaging. Remote Sensing, 14 (5). 1152.
Abstract
Developments in the portability of low-cost hyperspectral imaging instruments translate to significant benefits to agricultural industries and environmental monitoring applications. These advances can be further explicated by removing the need for complex post-processing and calibration. We propose a method for substantially increasing the utility of portable hyperspectral imaging. Vertical and horizontal spatial distortions introduced into images by ‘operator shake’ are corrected by an in-scene reference card with two spatial references. In situ light-source-independent spectral calibration is performed. This is achieved by a comparison of the ground-truth spectral reflectance of an in-scene red–green–blue target to the uncalibrated output of the hyperspectral data. Finally, bias introduced into the hyperspectral images due to the non-flat spectral output of the illumination is removed. This allows for low-skilled operation of a truly handheld, low-cost hyperspectral imager for agriculture, environmental monitoring, or other visible hyperspectral imaging applications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 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; calibration |
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) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/V012126/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Mar 2022 10:47 |
Last Modified: | 07 Mar 2022 10:47 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/rs14051152 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184453 |