HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy
Abstract 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 spectr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02061-x |