Transformer-Based Deep Learning for Mesoscale Eddy Detection in Sea Surface Temperature Maps

Transformer-Based Deep Learning for Mesoscale Eddy Detection in Sea Surface Temperature Maps

Mesoscale eddies are dynamic oceanic phenomena significantly influencing marine ecosystems’ energy transfer, nutrients, and biogeochemical cycles. These eddies’ precise identification and categorization can improve climate modeling, ocean circulation research, and environmental...

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Bibliographic Details
Main Authors: Chen Ji, Wenyang Xu, Xiangtian Zheng, Yasmeen Ahmed, Saad Ahmed Jamal, Fakhar Imam, Mohammed Saleh Ali Muthanna, Maha Ibrahim, Sajid Ullah, Dmitry E. Kucher
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
ocean eddies
remote sensing
SegFormer
semantic segmentation
sea surface temperature (SST) data
Online Access:https://ieeexplore.ieee.org/document/11015982/
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https://ieeexplore.ieee.org/document/11015982/

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