Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images

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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Bibliographic Details
Main Authors: Attallah Youcef, Zigh Ehlem, Adda Ali Pacha
Format: Article
Language:English
Published: Sciendo 2024-12-01
Series:Reports on Geodesy and Geoinformatics
Subjects:
hyperspectral imaging
mineral identification
optimized 3d-2d cnn
diagnostic absorption band
feature extraction
Online Access:https://doi.org/10.2478/rgg-2024-0017

Internet

https://doi.org/10.2478/rgg-2024-0017

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