Your browser doesn't support javascript.
loading
High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios.
Stuart, Mary B; Davies, Matthew; Hobbs, Matthew J; Pering, Tom D; McGonigle, Andrew J S; Willmott, Jon R.
Afiliación
  • Stuart MB; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
  • Davies M; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
  • Hobbs MJ; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
  • Pering TD; Department of Geography, University of Sheffield, Sheffield S10 2TN, UK.
  • McGonigle AJS; Department of Geography, University of Sheffield, Sheffield S10 2TN, UK.
  • Willmott JR; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
Sensors (Basel) ; 22(12)2022 Jun 20.
Article en En | MEDLINE | ID: mdl-35746433
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.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Imágenes Hiperespectrales Tipo de estudio: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Imágenes Hiperespectrales Tipo de estudio: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article