Satellite-Derived Bathymetry Combined With Sentinel-2 and ICESat-2 Datasets Using Deep Learning
Accurate bathymetric data are critical for marine ecological balance and resource management. Deep learning algorithms, known for their capacity to model complex, multivariate, and nonlinear relationships, have been increasingly applied to satellite-derived bathymetry. However, existing deep learnin...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11080361/ |
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