Designing Theoretical Shipborne ADCP Survey Trajectories for High-Frequency Radar Based on a Machine Learning Neural Network
A machine learning neural network-based design for shipborne ADCP navigation is proposed to improve the quality of high-frequency radar measurements. In traditional inversion algorithms for HF radars, sea surface velocity is directly extracted from electromagnetic echoes without constraints from oce...
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| Glavni autori: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2023-06-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2076-3417/13/12/7208 |
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