HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy

Supervised analysis using spectral data requires a well-informed characterisation of the response variables and abundant spectral data points. The presented hyperspectral dataset comes from five sets of geometallurgical samples, each characterised by different methods. To provide the spectral data,...

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Detalles Bibliográficos
Autores principales: Ehrenfeld, Alejandro, Egaña, Álvaro F., Santibañez-Leal, Felipe, Garrido, Felipe, Ojeda, Marcia, Townley, Brian, Navarro, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036318/
https://www.ncbi.nlm.nih.gov/pubmed/36959253
http://dx.doi.org/10.1038/s41597-023-02061-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036318/
https://www.ncbi.nlm.nih.gov/pubmed/36959253
http://dx.doi.org/10.1038/s41597-023-02061-x

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