%0 Journal Article %1 journals/staeors/GengGHRC24 %A Geng, Junmin %A Gao, He %A Huang, Baoxiang %A Radenkovic, Milena %A Chen, Ge %D 2024 %J IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. %K dblp %P 11997-12007 %T ARU$^2$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection. %U http://dblp.uni-trier.de/db/journals/staeors/staeors17.html#GengGHRC24 %V 17

@article{journals/staeors/GengGHRC24, added-at = {2024-08-02T00:00:00.000+0200}, author = {Geng, Junmin and Gao, He and Huang, Baoxiang and Radenkovic, Milena and Chen, Ge}, biburl = {https://www.bibsonomy.org/bibtex/2f0ca5fe34b62844da5e2c03446862551/dblp}, ee = {https://doi.org/10.1109/JSTARS.2024.3419175}, interhash = {a93b6e8ee2c41495289bb28265ff8588}, intrahash = {f0ca5fe34b62844da5e2c03446862551}, journal = {IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.}, keywords = {dblp}, pages = {11997-12007}, timestamp = {2024-08-05T07:06:47.000+0200}, title = {ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection.}, url = {http://dblp.uni-trier.de/db/journals/staeors/staeors17.html#GengGHRC24}, volume = 17, year = 2024 }