Coal gangue image recognition model based on improved U−Net and top coal caving control
Coal gangue identification technology is a critical component for the automation of fully mechanized mining faces and represents a significant challenge within this domain. To address the challenges of suboptimal quality and limited scale of existing coal gangue image datasets, as well as the slow d...
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| Main Authors: | Yong YUAN, Zhenghan QIN, Yongqi XIA, Rang WU, Libao LI, Yong LI |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of China Coal Society
2025-05-01
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| Series: | Meitan xuebao |
| Subjects: | |
| Online Access: | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2024.0588 |
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