Research on fine-grained classification of rare metal granite lithology based on deep learning
Fine-grained image classification has high research value and application prospects in practical applications. At present, the traditional lithology fine-grained classification method is highly subjective and time-sensitive, depending on the experience of researcher and the quality of experimental e...
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| Main Authors: | ZHAO Hengqian, WANG Pan, LIU Zhiguo, MIAO Qunfeng, LI Zhibin, TANG Guanglong, QI Yunfei, XIE Yu, WANG Mengmeng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Emergency Management Press
2025-06-01
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| Series: | 矿业科学学报 |
| Subjects: | |
| Online Access: | http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2025012 |
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