{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T02:05:07Z","timestamp":1782180307102,"version":"3.54.5"},"reference-count":33,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T00:00:00Z","timestamp":1665014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Foundation of China","award":["42106232"],"award-info":[{"award-number":["42106232"]}]},{"name":"National Science Foundation of China","award":["41876222"],"award-info":[{"award-number":["41876222"]}]},{"name":"National Science Foundation of China","award":["ZY0722031"],"award-info":[{"award-number":["ZY0722031"]}]},{"name":"National Science Foundation of China","award":["JD0619010"],"award-info":[{"award-number":["JD0619010"]}]},{"name":"Global Change and Air-Sea Interaction II","award":["42106232"],"award-info":[{"award-number":["42106232"]}]},{"name":"Global Change and Air-Sea Interaction II","award":["41876222"],"award-info":[{"award-number":["41876222"]}]},{"name":"Global Change and Air-Sea Interaction II","award":["ZY0722031"],"award-info":[{"award-number":["ZY0722031"]}]},{"name":"Global Change and Air-Sea Interaction II","award":["JD0619010"],"award-info":[{"award-number":["JD0619010"]}]},{"name":"Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC)","award":["42106232"],"award-info":[{"award-number":["42106232"]}]},{"name":"Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC)","award":["41876222"],"award-info":[{"award-number":["41876222"]}]},{"name":"Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC)","award":["ZY0722031"],"award-info":[{"award-number":["ZY0722031"]}]},{"name":"Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC)","award":["JD0619010"],"award-info":[{"award-number":["JD0619010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the Bering Sea slope, ocean eddies are essential physical processes that carry nutrients to the shelf. The development of the satellite altimeter has facilitated the observation of oceanic eddies. Attention networks are used as the core algorithm for eddy detection to suppress feature responses in irrelevant non-eddy areas, which can address the issue of sample imbalance in high-latitude ocean eddies. Furthermore, data from both the sea surface height (SSH) and geostrophic velocity were employed as model inputs to integrate more eddy-related properties. The results of ocean eddy detection using this method and the dataset allowed more eddies to be detected than with traditional vector geometry-based methods and only SSH-based models. This study also incorporated the results of multiple deep learning models to increase both the overall and single-day eddy detection efficiency. As a result, the algorithms in this paper show that attention networks and geostrophic velocity data are both appropriate for high-latitude ocean eddy identification. This makes a contribution to the further application of deep learning methods to satellite altimetry data.<\/jats:p>","DOI":"10.3390\/rs14194974","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:07:28Z","timestamp":1665371248000},"page":"4974","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Detection of Bering Sea Slope Mesoscale Eddies Derived from Satellite Altimetry Data by an Attention Network"],"prefix":"10.3390","volume":"14","author":[{"given":"Yuyuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Na","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"The 91001 Unit of PLA, Beijing 100036, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[{"name":"The 91001 Unit of PLA, Beijing 100036, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Fan","sequence":"additional","affiliation":[{"name":"Navy Research Institute, Tianjin 300061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunbo","family":"Li","sequence":"additional","affiliation":[{"name":"The 91001 Unit of PLA, Beijing 100036, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6503-0505","authenticated-orcid":false,"given":"Lei","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Lin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxia","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1029\/2007GL030812","article-title":"Global observations of large oceanic eddies: Global observations of oceanic eddies","volume":"34","author":"Chelton","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"C05021","DOI":"10.1029\/2011JC007724","article-title":"Eddy heat and salt transports in the South China Sea and their seasonal modulations: Eddy transports in the scs","volume":"117","author":"Chen","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/ncomms4294","article-title":"Global heat and salt transports by eddy movement","volume":"5","author":"Dong","year":"2014","journal-title":"Nat. Commun."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1175\/1520-0485(1975)005<0231:TBSCS>2.0.CO;2","article-title":"The Bering Slope Current System","volume":"5","author":"Kinder","year":"1975","journal-title":"J. Phys. Oceanogr."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/0146-6291(78)90566-0","article-title":"Eddies in the Kamchatka Current","volume":"25","author":"Solomon","year":"1978","journal-title":"Deep Sea Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1175\/1520-0485(1980)010<1228:OOABEA>2.0.CO;2","article-title":"Observation of a Baroclinic Eddy: An Example of Mesoscale Variability in the Bering Sea","volume":"10","author":"Kinder","year":"1980","journal-title":"J. Phys. Oceanogr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3663","DOI":"10.1029\/JC089iC03p03663","article-title":"Satellite observations of circulation in the eastern Bering Sea","volume":"89","author":"Paluszkiewicz","year":"1984","journal-title":"J. Geophys. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"C05015","DOI":"10.1029\/2007JC004705","article-title":"Observations of the Aleutian North Slope Current, Bering Sea, 1996\u20132001","volume":"114","author":"Stabeno","year":"2009","journal-title":"J. Geophys. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1111\/j.1365-2419.1996.tb00118.x","article-title":"The Bering Sea Green Belt: Shelf-edge processes and ecosystem production","volume":"5","author":"Springer","year":"1996","journal-title":"Fish. Ocean."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Lin, M., and Jia, Y. (2022). Past, Present and Future Marine Microwave Satellite Missions in China. Remote Sens., 14.","DOI":"10.3390\/rs14061330"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"112395","DOI":"10.1016\/j.rse.2021.112395","article-title":"The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space","volume":"258","author":"Donlon","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1080\/01490419.2010.491030","article-title":"The OSTM\/Jason-2 Mission","volume":"33","author":"Lambin","year":"2010","journal-title":"Mar. Geod."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/LGRS.2008.2005275","article-title":"Defining a Sea Ice Flag for Envisat Altimetry Mission","volume":"6","author":"Tran","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Yang, L., Lin, L., Fan, L., Liu, N., Huang, L., Xu, Y., Mertikas, S.P., Jia, Y., and Lin, M. (2022). Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis. Remote Sensing, 14.","DOI":"10.3390\/rs14143332"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1029\/1999GL002399","article-title":"Multi-year meanders and eddies in the Alaskan Stream as observed by TOPEX\/Poseidon altimeter","volume":"27","author":"Crawford","year":"2000","journal-title":"Geophys. Res. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1134\/S0001437015010105","article-title":"Mesoscale eddies in the Black Sea from satellite altimetry data","volume":"55","author":"Kubryakov","year":"2015","journal-title":"Oceanology"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1134\/S0001433821120240","article-title":"Mesoscale Eddies in the Bering Sea from Satellite Altimetry Data","volume":"57","author":"Zhabin","year":"2021","journal-title":"Izv. Atmos. Ocean. Phys."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0167-2789(91)90088-Q","article-title":"The dynamics of enstrophy transfer in two-dimensional hydrodynamics","volume":"48","author":"Weiss","year":"1991","journal-title":"Phys. D Nonlinear Phenom."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Sadarjoen, I.A., and Post, F.H. (1999, January 26\u201328). Geometric methods for vortex extraction. Proceedings of the Data Visualization\u201999, Vienna, Austria.","DOI":"10.1007\/978-3-7091-6803-5_6"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1175\/2009JTECHO725.1","article-title":"A vector geometry\u2013based eddy detection algorithm and its application to a high-resolution numerical model product and high-frequency radar surface velocities in the Southern California Bight","volume":"27","author":"Nencioli","year":"2010","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Franz, K., Roscher, R., Milioto, A., Wenzel, S., and Kusche, J. (2018). Ocean Eddy Identification and Tracking using Neural Networks. arXiv.","DOI":"10.1109\/IGARSS.2018.8519261"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Moschos, E., Schwander, O., Stegner, A., and Gallinari, P. (2020, January 4\u20138). Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. Proceedings of the ICASSP 2020\u20132020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain.","DOI":"10.1109\/ICASSP40776.2020.9053909"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1584","DOI":"10.1093\/nsr\/nwaa047","article-title":"Deep-learning-based information mining from ocean remote-sensing imagery","volume":"7","author":"Li","year":"2020","journal-title":"Natl. Sci. Rev."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lguensat, R., Sun, M., Fablet, R., Tandeo, P., Mason, E., and Chen, G. (2018, January 22\u201327). EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. Proceedings of the IGARSS 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8518411"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Xu, G., Cheng, C., Yang, W., Xie, W., Kong, L., Hang, R., Ma, F., Dong, C., and Yang, J. (2019). Oceanic Eddy Identification Using an AI Scheme. Remote Sens., 11.","DOI":"10.3390\/rs11111349"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, X., and Ren, Y. (2020, January 25\u201330). A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery. Proceedings of the IGARSS 2020 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS39084.2020.9323716"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Santana, O., Hern\u00e1ndez-Sosa, D., Martz, J., and Smith, R. (2020). Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies. Remote Sens., 12.","DOI":"10.3390\/rs12162625"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.dsr.2012.06.001","article-title":"Eddy analysis in the subtropical zonal band of the North Pacific Ocean","volume":"68","author":"Liu","year":"2012","journal-title":"Deep. Sea Res. Part I Oceanogr. Res. Pap."},{"key":"ref_29","unstructured":"Oktay, O., Schlemper, J., Folgoc, L.L., Lee, M., Heinrich, M., Misawa, K., Mori, K., McDonagh, S., Hammerla, N.Y., and Kainz, B. (2018). Attention U-Net: Learning Where to Look for the Pancreas. arXiv."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., and Kweon, I.S. (2018). CBAM: Convolutional Block Attention Module. arXiv.","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref_31","first-page":"1","article-title":"Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images","volume":"19","author":"Li","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Fu, J., Liu, J., Tian, H., Li, Y., Bao, Y., Fang, Z., and Lu, H. (2019, January 15\u201320). Dual Attention Network for Scene Segmentation. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2019, Long Beach, CA, USA.","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.pocean.2008.10.013","article-title":"Mesoscale eddies off Peru in altimeter records: Identification algorithms and eddy spatio-temporal patterns","volume":"79","author":"Chaigneau","year":"2008","journal-title":"Prog. Oceanogr."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4974\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:47:27Z","timestamp":1760143647000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4974"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,6]]},"references-count":33,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14194974"],"URL":"https:\/\/doi.org\/10.3390\/rs14194974","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,6]]}}}