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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Detalles Bibliográficos

Autores principales:	Attallah Youcef, Zigh Ehlem, Adda Ali Pacha
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Sciendo 2024-12-01
Colección:	Reports on Geodesy and Geoinformatics
Materias:	hyperspectral imaging mineral identification optimized 3d-2d cnn diagnostic absorption band feature extraction
Acceso en línea:	https://doi.org/10.2478/rgg-2024-0017
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