High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios

Journal article


Stuart, M., Matthew Davies, Matthew J. Hobbs, Tom D. Pering, Andrew J. S. McGonigle and Jon R. Willmott 2024. High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios. Sensors. 22 (12), pp. 1-13. https://doi.org/10.3390/s22124652
AuthorsStuart, M., Matthew Davies, Matthew J. Hobbs, Tom D. Pering, Andrew J. S. McGonigle and Jon R. Willmott
Abstract

High-resolution hyperspectral imaging is becoming indispensable, enabling the precise detection of spectral variations across complex, spatially intricate targets. However, despite these significant benefits, currently available high-resolution set-ups are typically prohibitively expensive, significantly limiting their user base and accessibility. These limitations can have wider implications, limiting data collection opportunities, and therefore our knowledge, across a wide range of environments. In this article we introduce a low-cost alternative to the currently available instrumentation. This instrument provides hyperspectral datasets capable of resolving spectral variations in mm-scale targets, that cannot typically be resolved with many existing low-cost hyperspectral imaging alternatives. Instrument metrology is provided, and its efficacy is demonstrated within a mineralogy-based environmental monitoring application highlighting it as a valuable addition to the field of low-cost hyperspectral imaging.

Keywordshyperspectral; low-cost; high-resolution; environmental monitoring
Year2024
JournalSensors
Journal citation22 (12), pp. 1-13
PublisherMDPI
ISSN1424-8220
Digital Object Identifier (DOI)https://doi.org/10.3390/s22124652
Web address (URL)https://doi.org/10.3390/s22124652
Publisher's version
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File Access Level
Open
Output statusPublished
Publication dates20 Jun 2022
Publication process dates
Accepted17 Jun 2022
Deposited07 Nov 2024
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https://repository.derby.ac.uk/item/qqq47/high-resolution-hyperspectral-imaging-using-low-cost-components-application-within-environmental-monitoring-scenarios

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