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

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

Afiliação

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 em En | MEDLINE | ID: mdl-35746433

Assuntos

Monitoramento Ambiental; Imageamento Hiperespectral; Monitoramento Ambiental/métodos

Palavras-chave

environmental monitoring; high-resolution; hyperspectral; low-cost

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Imageamento Hiperespectral Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

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