Jia, R.; Yang, Y.; Wang, Q.; Gan, X.; Yao, F.; Kong, Q.
Multi-Source Geodetic Data Fusion Using a Physically Informed Swin Transformer for High-Resolution Gravity Field Recovery: A Case Study of the South China Sea. J. Mar. Sci. Eng. 2026, 14, 403.
https://doi.org/10.3390/jmse14040403
AMA Style
Jia R, Yang Y, Wang Q, Gan X, Yao F, Kong Q.
Multi-Source Geodetic Data Fusion Using a Physically Informed Swin Transformer for High-Resolution Gravity Field Recovery: A Case Study of the South China Sea. Journal of Marine Science and Engineering. 2026; 14(4):403.
https://doi.org/10.3390/jmse14040403
Chicago/Turabian Style
Jia, Ruicai, Yichao Yang, Qingbin Wang, Xingli Gan, Fang Yao, and Qiankun Kong.
2026. "Multi-Source Geodetic Data Fusion Using a Physically Informed Swin Transformer for High-Resolution Gravity Field Recovery: A Case Study of the South China Sea" Journal of Marine Science and Engineering 14, no. 4: 403.
https://doi.org/10.3390/jmse14040403
APA Style
Jia, R., Yang, Y., Wang, Q., Gan, X., Yao, F., & Kong, Q.
(2026). Multi-Source Geodetic Data Fusion Using a Physically Informed Swin Transformer for High-Resolution Gravity Field Recovery: A Case Study of the South China Sea. Journal of Marine Science and Engineering, 14(4), 403.
https://doi.org/10.3390/jmse14040403