{"id":"https://openalex.org/W3175608525","doi":"https://doi.org/10.3390/rs13132441","title":"Cross-Domain Submesoscale Eddy Detection Neural Network for HF Radar","display_name":"Cross-Domain Submesoscale Eddy Detection Neural Network for HF Radar","publication_year":2021,"publication_date":"2021-06-22","ids":{"openalex":"https://openalex.org/W3175608525","doi":"https://doi.org/10.3390/rs13132441","mag":"3175608525"},"language":"en","primary_location":{"id":"doi:10.3390/rs13132441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132441","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2441/pdf?version=1624526024","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/13/2441/pdf?version=1624526024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035481964","display_name":"Fangyuan Liu","orcid":"https://orcid.org/0000-0003-2606-753X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Liu","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087239998","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0003-3680-5903"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090385470","display_name":"Weimin Huang","orcid":"https://orcid.org/0000-0001-9622-5041"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Weimin Huang","raw_affiliation_strings":["The Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John\u2019s, NL A1B 3X5, Canada","The Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada"],"affiliations":[{"raw_affiliation_string":"The Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John\u2019s, NL A1B 3X5, Canada","institution_ids":["https://openalex.org/I130438778"]},{"raw_affiliation_string":"The Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090012410","display_name":"Yingwei Tian","orcid":"https://orcid.org/0000-0003-3450-3688"},"institutions":[{"id":"https://openalex.org/I1320721754","display_name":"Ministry of Natural Resources and Forestry","ror":"https://ror.org/02ntv3742","country_code":"CA","type":"government","lineage":["https://openalex.org/I1320721754"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Yingwei Tian","raw_affiliation_strings":["Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Toronto, ON 279541, Canada","The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Toronto, ON 279541, Canada","institution_ids":["https://openalex.org/I1320721754"]},{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060409102","display_name":"Biyang Wen","orcid":"https://orcid.org/0000-0001-7477-4664"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biyang Wen","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087239998"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7254,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68850214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"13","issue":"13","first_page":"2441","last_page":"2441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9958999752998352,"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":0.9957000017166138,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6789172291755676},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6303234100341797},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6160993576049805},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5913476347923279},{"id":"https://openalex.org/keywords/eddy","display_name":"Eddy","score":0.5647315382957458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5382381081581116},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5074161887168884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49531736969947815},{"id":"https://openalex.org/keywords/eddy-current","display_name":"Eddy current","score":0.47195687890052795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45685747265815735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3266782760620117},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2998979091644287},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.2685868442058563},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14454331994056702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10458916425704956},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09258073568344116},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08170714974403381}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6789172291755676},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6303234100341797},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6160993576049805},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5913476347923279},{"id":"https://openalex.org/C179065325","wikidata":"https://www.wikidata.org/wiki/Q994122","display_name":"Eddy","level":3,"score":0.5647315382957458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382381081581116},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5074161887168884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49531736969947815},{"id":"https://openalex.org/C131357438","wikidata":"https://www.wikidata.org/wiki/Q208598","display_name":"Eddy current","level":2,"score":0.47195687890052795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45685747265815735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3266782760620117},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2998979091644287},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.2685868442058563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14454331994056702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10458916425704956},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09258073568344116},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08170714974403381},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13132441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132441","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2441/pdf?version=1624526024","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f8d5dbaae526485aaa9b6eca5ec542d8","is_oa":true,"landing_page_url":"https://doaj.org/article/f8d5dbaae526485aaa9b6eca5ec542d8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 13, p 2441 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/13/2441/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13132441","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13132441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132441","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2441/pdf?version=1624526024","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4492574921","display_name":null,"funder_award_id":"62071337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7747524778","display_name":null,"funder_award_id":"2020B1111020003","funder_id":"https://openalex.org/F4320336405","funder_display_name":"Special Project for Research and Development in Key areas of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336405","display_name":"Special Project for Research and Development in Key areas of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3175608525.pdf","grobid_xml":"https://content.openalex.org/works/W3175608525.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1556878172","https://openalex.org/W1704635749","https://openalex.org/W1907224305","https://openalex.org/W2006311879","https://openalex.org/W2016754422","https://openalex.org/W2018606688","https://openalex.org/W2021323434","https://openalex.org/W2024797911","https://openalex.org/W2030323428","https://openalex.org/W2038613869","https://openalex.org/W2051620405","https://openalex.org/W2079358389","https://openalex.org/W2099753271","https://openalex.org/W2128254538","https://openalex.org/W2128687938","https://openalex.org/W2134213743","https://openalex.org/W2167659289","https://openalex.org/W2182320894","https://openalex.org/W2400488166","https://openalex.org/W2767793144","https://openalex.org/W2771373141","https://openalex.org/W2890065731","https://openalex.org/W2916534787","https://openalex.org/W2941617237","https://openalex.org/W2948026328","https://openalex.org/W2962740470","https://openalex.org/W2969987402","https://openalex.org/W2997190029","https://openalex.org/W3003190159","https://openalex.org/W3008823277","https://openalex.org/W3033120723","https://openalex.org/W3033566799","https://openalex.org/W3049006505","https://openalex.org/W3111543595","https://openalex.org/W3116949449","https://openalex.org/W6633105131","https://openalex.org/W6712657761"],"related_works":["https://openalex.org/W2045317988","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4399254932"],"abstract_inverted_index":{"With":[0],"the":[1,7,30,42,55,72,78,107,130,181],"rapid":[2],"development":[3],"of":[4,44,77,109,132,163],"deep":[5,91],"learning,":[6],"neural":[8,23,67],"network":[9,24,68,102],"becomes":[10],"an":[11,114],"efficient":[12],"approach":[13],"for":[14,58,105,128,146,180],"eddy":[15,65,92,112,148,166,169],"detection.":[16,149],"However,":[17],"previous":[18,136],"work":[19],"employs":[20],"a":[21,26,38,62,89,99],"traditional":[22],"with":[25,98],"focus":[27],"on":[28,71],"improving":[29],"detecting":[31,45],"accuracy":[32],"only":[33],"using":[34],"limited":[35],"data":[36,76],"under":[37],"single":[39],"scenario.":[40],"Meanwhile,":[41,165],"experience":[43],"eddies":[46],"from":[47,54],"one":[48],"experiment":[49,151],"is":[50,83,96,119,142],"not":[51],"directly":[52],"inherited":[53],"detection":[56,66,93,137],"model":[57],"other":[59],"experiments.":[60],"Therefore,":[61],"cross-domain":[63],"submesoscale":[64],"(CDEDNet)":[69],"based":[70],"high-frequency":[73],"radar":[74],"(HFR)":[75],"Nansan":[79,182],"and":[80,155,175,183],"Xuwen":[81,184],"region":[82],"proposed":[84],"in":[85,121,144,161],"this":[86],"paper.":[87],"Firstly,":[88],"fundamental":[90],"architecture":[94],"CDEDNet-0":[95,160],"constructed":[97],"fully":[100],"convolutional":[101],"(FCN).":[103],"Secondly,":[104],"solving":[106],"problem":[108,131],"insufficient":[110],"labeled":[111],"data,":[113],"instance-based":[115],"domain":[116],"adaption":[117],"method":[118],"adopted":[120],"CDEDNet-1":[122,154],"to":[123,134],"increase":[124],"training":[125],"samples.":[126],"Thirdly,":[127],"tackling":[129],"unable":[133],"inherit":[135],"experience,":[138],"parameter-based":[139],"transfer":[140],"learning":[141],"incorporated":[143],"CDEDNet-2":[145,156],"multi-scene":[147],"The":[150],"results":[152],"demonstrate":[153],"perform":[157],"better":[158],"than":[159],"terms":[162],"accuracy.":[164],"characteristics":[167],"including":[168],"type,":[170],"radius,":[171],"occurring":[172],"time,":[173],"merger,":[174],"dynamic":[176],"trajectory":[177],"are":[178],"analyzed":[179],"regions.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}