Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images
Mineral classification using hyperspectral imaging represents an essential field of research improving the understanding of geological compositions. This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic mineral identification and classification. Our approach...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-12-01
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| Series: | Reports on Geodesy and Geoinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/rgg-2024-0017 |
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