Name
Title | ||
|---|---|---|
A Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data |
Abstract | ||
|---|---|---|
Ocean eddies, as a ubiquitous phenomenon of the global ocean, are extremely important for ocean energy and material exchanges. Therefore, efficient eddy detection and tracking are crucial for advancing our understanding of ocean dynamics. This work presents a framework for automatic ocean eddy detection and tracking by leveraging state-of-the-art machine learning algorithms. First, we propose a ne... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3032523 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Deep learning,Feature extraction,Radar tracking,Semantics,Sea surface,Tracking | Journal | 59 |
Issue | ISSN | Citations |
9 | 0196-2892 | 1 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Sun | 1 | 51 | 10.45 |
| Meng Zhang | 2 | 2 | 1.09 |
| Junyu Dong | 3 | 99 | 23.43 |
| Redouane Lguensat | 4 | 6 | 3.30 |
| Yuting Yang | 5 | 44 | 10.79 |
| Xirong Lu | 6 | 1 | 0.37 |