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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,...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |