Deep Learning for Mesoscale Eddy Detection With Feature Fusion of Multisatellite Observations

Deep Learning for Mesoscale Eddy Detection With Feature Fusion of Multisatellite Observations

Accurate oceanic eddy detection is crucial for understanding their dynamic behavior. In this study, we apply attention dual-U-net, a specialized deep learning model, to simultaneously detect the location and contours of mesoscale eddies in the South China Sea (SCS). This model integrates various fea...

Full description

Bibliographic Details
Main Authors: Huarong Xie, Qing Xu, Changming Dong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Abnormal eddies
deep learning
feature fusion
multisatellite observations
oceanic mesoscale eddy
South China Sea (SCS)
Online Access:https://ieeexplore.ieee.org/document/10694783/

Internet

https://ieeexplore.ieee.org/document/10694783/

Similar Items