Litcius/Paper detail

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

Mary B. Stuart, Matthew A. Davies, Matthew J. Hobbs, Tom D. Pering, A. J. S. McGonigle, Jon R. Willmott

2022Sensors96 citationsDOIOpen Access PDF

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.

Topics & Concepts

Hyperspectral imagingLimitingRemote sensingComputer scienceInstrumentation (computer programming)Environmental scienceSystems engineeringArtificial intelligenceEngineeringGeologyMechanical engineeringOperating systemGeochemistry and Geologic MappingRemote-Sensing Image ClassificationSpectroscopy and Chemometric Analyses