Mineral identification in thin sections using a lightweight and attention mechanism

Mineral identification is foundational to geological survey research, mineral resource exploration, and mining engineering. Considering the diversity of mineral types and the challenge of achieving high recognition accuracy for similar features, this study introduces a mineral detection method based...

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Bibliografski detalji

Glavni autori:	Xin Zhang, Wei Dang, Jun Liu, Zijuan Yin, Guichao Du, Yawen He, Yankai Xue
Format:	Artigo
Jezik:	Inglês
Izdano:	KeAi Communications Co., Ltd. 2025-04-01
Serija:	Natural Gas Industry B
Teme:	Deep learning Neural networks Lightweight models Attention mechanisms Mineral identification
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2352854025000166
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