Evaluating the performance of machine learning and deep learning techniques to HyMap imagery for lithological mapping in a semi-arid region: case study from Western Anti-Atlas, Morocco
Accurate lithological mapping is a crucial juncture for geological studies and mineral exploration. Hyperspectral data provide the opportunity to extract detailed information about the geology and mineralogy of the Earth’s surface. Machine learning (ML) and deep learning (DL) techniques provide an a...
Main Authors: | Hajaj, Soufiane, El Harti, Abderrazak, Jellouli, Amine, Pour, Amin Beiranvand, Himyari, Saloua Mnissar, Hamzaoui, Abderrazak, Hashim, Mazlan |
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Format: | Article |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/105849/1/AminBeiranvandPour2023_EvaluatingthePerformanceofMachineLearning.pdf |
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