Yuan, J.; Yang, C.; Dong, D.; Guo, J.; An, D.; Yu, D.
Seabed Depth Prediction Using Multi-Scale Gravity Anomalies and Fully Connected Deep Neural Networks: A Novel Approach Applied to the South China Sea. Remote Sens. 2025, 17, 412.
https://doi.org/10.3390/rs17030412
AMA Style
Yuan J, Yang C, Dong D, Guo J, An D, Yu D.
Seabed Depth Prediction Using Multi-Scale Gravity Anomalies and Fully Connected Deep Neural Networks: A Novel Approach Applied to the South China Sea. Remote Sensing. 2025; 17(3):412.
https://doi.org/10.3390/rs17030412
Chicago/Turabian Style
Yuan, Jiajia, Chen Yang, Di Dong, Jinyun Guo, Dechao An, and Daocheng Yu.
2025. "Seabed Depth Prediction Using Multi-Scale Gravity Anomalies and Fully Connected Deep Neural Networks: A Novel Approach Applied to the South China Sea" Remote Sensing 17, no. 3: 412.
https://doi.org/10.3390/rs17030412
APA Style
Yuan, J., Yang, C., Dong, D., Guo, J., An, D., & Yu, D.
(2025). Seabed Depth Prediction Using Multi-Scale Gravity Anomalies and Fully Connected Deep Neural Networks: A Novel Approach Applied to the South China Sea. Remote Sensing, 17(3), 412.
https://doi.org/10.3390/rs17030412