A deep-learning approach for dynamic region merging applied to feature extraction from borehole microresistivity images
文献类型：期刊论文
| 作者 | Long, G; Shen, JS; Li, YX; Wang, L |
| 刊名 | GEOPHYSICS
 |
| 出版日期 | 2024 |
| 卷号 | 89期号:1页码:D1-D14 |
| ISSN号 | 0016-8033 |
| DOI | 10.1190/GEO2023-0088.1 |
| 文献子类 | Article |
| 电子版国际标准刊号 | 1942-2156 |
| WOS记录号 | WOS:001178028200001 |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/305243]  |
| 专题 | 高能物理研究所_计算中心 |
| 推荐引用方式 GB/T 7714 | Long, G,Shen, JS,Li, YX,et al. A deep-learning approach for dynamic region merging applied to feature extraction from borehole microresistivity images[J]. GEOPHYSICS,2024,89(1):D1-D14. |
| APA | Long, G,Shen, JS,Li, YX,&Wang, L.(2024).A deep-learning approach for dynamic region merging applied to feature extraction from borehole microresistivity images.GEOPHYSICS,89(1),D1-D14. |
| MLA | Long, G,et al."A deep-learning approach for dynamic region merging applied to feature extraction from borehole microresistivity images".GEOPHYSICS 89.1(2024):D1-D14. |
入库方式： OAI收割
来源：高能物理研究所
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