Xiangjie Li

ORCID: 0009-0003-9224-8221
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About
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Research Areas
  • Wave and Wind Energy Systems
  • Coastal and Marine Dynamics
  • Ocean Waves and Remote Sensing

Huazhong University of Science and Technology
2023

SWIM can provide global wave spectra, but under small sea conditions, the presence of parasitic peaks at low wavenumber, surfboard effects, and residual speckle noise lead to performance degradation height spectrum products. To reduce impacts factors above on spectrum, in this paper, a convolution neural network (CNN) method based BU-Net is proposed for calibrating omnidirectional spectra with buoy measurements states (wind mainly/swell mainly) surface conditions speed from 9m/s 19m/s,...

10.1109/tgrs.2023.3336847 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-11-28
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