Improving Spatial Resolution of Multispectral Rock Outcrop Images Using RGB Data and Artificial Neural Networks

Spectral information provided by multispectral and hyperspectral sensors has a great impact on remote sensing studies, easing the identification of carbonate outcrops that contribute to a better understanding of petroleum reservoirs. Sensors aboard satellites like Landsat series, which have data fre...

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Detalles Bibliográficos
Autores principales: Marques Junior, Ademir, de Souza, Eniuce Menezes, Müller, Marianne, Brum, Diego, Zanotta, Daniel Capella, Horota, Rafael Kenji, Kupssinskü, Lucas Silveira, Veronez, Maurício Roberto, Gonzaga, Luiz, Cazarin, Caroline Lessio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349106/
https://www.ncbi.nlm.nih.gov/pubmed/32586025
http://dx.doi.org/10.3390/s20123559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349106/
https://www.ncbi.nlm.nih.gov/pubmed/32586025
http://dx.doi.org/10.3390/s20123559

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