EGU25-2509, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2509
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Accurate Recognition of Deep-Sea Small-Size Polymetallic Nodules Based on Multi-source Data and Deep Learning Model
Mingwei Wang1, Ziyin Wu1, Dineng Zhao1, Jianbing Chen2, Haiyang Hu3, and Xiang Meng4
Mingwei Wang et al.
  • 1Second Institute of Oceanography, Key Laboratory of Submarine Geosciences, China (ericking1992@foxmail.com, ziyinwu@163.com)
  • 2Shandong University of Science and Technology, College of Geodesy and Geomatics, China (2424111364@qq.com)
  • 3Harbin Engineering University, College of Underwater Acoustic Engineering, China (hhy990224@163.com)
  • 4Nanjing University, School of Geography and Ocean Science, China (502023270122@smail.nju.edu.cn)

How to cite: Wang, M., Wu, Z., Zhao, D., Chen, J., Hu, H., and Meng, X.: Accurate Recognition of Deep-Sea Small-Size Polymetallic Nodules Based on Multi-source Data and Deep Learning Model, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2509, https://doi.org/10.5194/egusphere-egu25-2509, 2025.

This abstract has been withdrawn on 25 Jul 2025.