{"id":"https://openalex.org/W3133065054","doi":"https://doi.org/10.1109/igarss39084.2020.9323716","title":"A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery","display_name":"A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3133065054","doi":"https://doi.org/10.1109/igarss39084.2020.9323716","mag":"3133065054"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100384087","display_name":"Yingjie Liu","orcid":"https://orcid.org/0000-0003-1634-3115"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Liu","raw_affiliation_strings":["CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347672","display_name":"Xiaofeng Li","orcid":"https://orcid.org/0000-0001-7038-5119"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Li","raw_affiliation_strings":["CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015596416","display_name":"Yibin Ren","orcid":"https://orcid.org/0000-0002-7327-7575"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Ren","raw_affiliation_strings":["CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6762","last_page":"6765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mesoscale-meteorology","display_name":"Mesoscale meteorology","score":0.7932253479957581},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7426419258117676},{"id":"https://openalex.org/keywords/eddy","display_name":"Eddy","score":0.5536997318267822},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.48536670207977295},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.43536999821662903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3452915549278259},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.34493720531463623},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10316944122314453},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.06280723214149475}],"concepts":[{"id":"https://openalex.org/C40382383","wikidata":"https://www.wikidata.org/wiki/Q2399824","display_name":"Mesoscale meteorology","level":2,"score":0.7932253479957581},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7426419258117676},{"id":"https://openalex.org/C179065325","wikidata":"https://www.wikidata.org/wiki/Q994122","display_name":"Eddy","level":3,"score":0.5536997318267822},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.48536670207977295},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.43536999821662903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3452915549278259},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.34493720531463623},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10316944122314453},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.06280723214149475},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1977136494","https://openalex.org/W1984622164","https://openalex.org/W2017647804","https://openalex.org/W2051620405","https://openalex.org/W2055626096","https://openalex.org/W2090857269","https://openalex.org/W2099753271","https://openalex.org/W2113336035","https://openalex.org/W2125563714","https://openalex.org/W2128687938","https://openalex.org/W2129145131","https://openalex.org/W2131070146","https://openalex.org/W2132001124","https://openalex.org/W2491877549","https://openalex.org/W2515781762","https://openalex.org/W2528842504","https://openalex.org/W2767793144","https://openalex.org/W2900936384","https://openalex.org/W2916534787","https://openalex.org/W2948026328","https://openalex.org/W2962740470","https://openalex.org/W2964121744","https://openalex.org/W3011560410","https://openalex.org/W3012481989","https://openalex.org/W6639824700","https://openalex.org/W6679271193","https://openalex.org/W6745948602","https://openalex.org/W6749884014"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3139950680","https://openalex.org/W2980864800","https://openalex.org/W1577772939","https://openalex.org/W327400388","https://openalex.org/W289559479","https://openalex.org/W4200006094","https://openalex.org/W139153353","https://openalex.org/W787775643","https://openalex.org/W2378372156"],"abstract_inverted_index":{"Mesoscale":[0,19],"eddies":[1,20],"are":[2,49],"circular":[3],"flowing":[4],"currents":[5],"that":[6,69],"can":[7,21,70],"retain":[8],"and":[9,13,83,122,133],"transport":[10],"salt,":[11],"heat,":[12],"nutrients":[14],"all":[15],"around":[16],"the":[17,81,110,115,120],"ocean.":[18],"be":[22],"detected":[23],"on":[24,52],"remote":[25,56,76,105],"sensing":[26,57,77,106],"images,":[27,33,38,41],"i.e.,":[28],"sea":[29,34],"surface":[30,35],"height":[31],"(SSH)":[32],"temperature":[36],"(SST)":[37],"chlorophyll":[39],"concentration":[40],"etc.":[42],"Most":[43],"existing":[44],"automatic":[45,65],"eddy":[46,66,86,101,112,125],"detection":[47,67,102,113,126],"algorithms":[48],"developed":[50],"based":[51],"one":[53],"kind":[54],"of":[55,63,74,85,124,131],"data.":[58],"There":[59],"is":[60],"a":[61,91,95],"lack":[62],"an":[64],"algorithm":[68],"make":[71],"full":[72],"use":[73],"multi-source":[75,104],"data":[78,130],"to":[79],"ensure":[80],"accuracy":[82,121],"efficiency":[84,123],"detection.":[87],"The":[88],"paper":[89],"proposes":[90],"multi-modal":[92],"U-Net":[93],"model,":[94],"deep":[96],"neural":[97],"network-based":[98],"framework":[99],"for":[100],"from":[103],"images.":[107],"Compared":[108],"with":[109],"previous":[111],"methods,":[114],"newly":[116],"proposed":[117],"method":[118],"improves":[119],"by":[127],"using":[128],"fusion":[129],"SSH":[132],"SST.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
