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Quantitative video-based wave parameter estimation using a 3D-CNN and two-stage transfer learning framework
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DOI：10.1016/j.oceaneng.2026.124561.png)
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摘要
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• Developed a 3D-CNN framework for quantitative video-based wave parameter estimation. • Proposed a two-stage transfer learning strategy using simulated and field data. • Designed tailored input features and POD-based preprocessing for noise reduction. • Achieved accurate Hs and Tp prediction with reduced dependence on field measurements.
Keyword:
3D-CNN
wave parameter estimation
transfer learning
video-based analysis
noise reduction
期刊
IF:
5.5
论文数:
7.4K
被引数:
7.6W
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