Cite
An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data.
MLA
Chai, Xintao, et al. “An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data.” IEEE Transactions on Geoscience & Remote Sensing, vol. 60, Mar. 2022, pp. 1–19. EBSCOhost, https://doi.org/10.1109/TGRS.2022.3144666.
APA
Chai, X., Nie, W., Lin, K., Tang, G., Yang, T., Yu, J., & Cao, W. (2022). An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data. IEEE Transactions on Geoscience & Remote Sensing, 60, 1–19. https://doi.org/10.1109/TGRS.2022.3144666
Chicago
Chai, Xintao, Wenhui Nie, Kai Lin, Genyang Tang, Taihui Yang, Junyong Yu, and Wenjun Cao. 2022. “An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data.” IEEE Transactions on Geoscience & Remote Sensing 60 (March): 1–19. doi:10.1109/TGRS.2022.3144666.