Review
Open access
2026
A Geographically and Physics-Informed Convolutional Neural Network for Satellite-Derived Bathymetry Using ICESat-2 and Sentinel-2 Datasets
A geographically and physics-informed convolutional neural network (GPI-CNN) that integrates Sentinel-2 multispectral imagery with ICESat-2-derived bathymetric samples and geographic coordinates and improves bathymetric inversion accuracy is proposed.
Wei-Dong Zhu, Qi-Di Xie, Yan-Ying Huang et al.
· IEEE Journal of Selected Top... · 0 citations