{"id":"https://openalex.org/W3214204690","doi":"https://doi.org/10.1145/3480001.3480013","title":"ET-SORT: A deep learning-based method for mesoscale eddies tracking in two-dimensional time-varying flow field.","display_name":"ET-SORT: A deep learning-based method for mesoscale eddies tracking in two-dimensional time-varying flow field.","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3214204690","doi":"https://doi.org/10.1145/3480001.3480013","mag":"3214204690"},"language":"en","primary_location":{"id":"doi:10.1145/3480001.3480013","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480001.3480013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Deep Learning Technologies (ICDLT)","raw_type":"proceedings-article"},"type":"article","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/A5020916256","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-6042-1219"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Ocean University of China, China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111808632","display_name":"Bo Qin","orcid":"https://orcid.org/0000-0001-6015-7788"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Qin","raw_affiliation_strings":["Ocean University of China, China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038294037","display_name":"Hao Du","orcid":"https://orcid.org/0000-0002-5083-8122"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Du","raw_affiliation_strings":["Ocean University of China, China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020916256"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13714078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"110","issue":null,"first_page":"20","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9980999827384949,"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":0.9980999827384949,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.669223427772522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605299711227417},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.589880645275116},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5584748983383179},{"id":"https://openalex.org/keywords/eddy","display_name":"Eddy","score":0.5564916133880615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5100908875465393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.478588342666626},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.476001113653183},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4433615207672119},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2094331979751587},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12727978825569153}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.669223427772522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605299711227417},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.589880645275116},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5584748983383179},{"id":"https://openalex.org/C179065325","wikidata":"https://www.wikidata.org/wiki/Q994122","display_name":"Eddy","level":3,"score":0.5564916133880615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100908875465393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.478588342666626},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.476001113653183},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4433615207672119},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2094331979751587},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12727978825569153},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480001.3480013","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480001.3480013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Deep Learning Technologies (ICDLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1563116020","https://openalex.org/W2017647804","https://openalex.org/W2052066227","https://openalex.org/W2109255472","https://openalex.org/W2127959970","https://openalex.org/W2128205813","https://openalex.org/W2128687938","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2743026384","https://openalex.org/W2963323244","https://openalex.org/W3096600794","https://openalex.org/W3104218139"],"related_works":["https://openalex.org/W2045317988","https://openalex.org/W2072653157","https://openalex.org/W3176908206","https://openalex.org/W4321490030","https://openalex.org/W2361805396","https://openalex.org/W3163450759","https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2157008402","https://openalex.org/W2592302855"],"abstract_inverted_index":{"Ocean":[0],"eddies":[1,11],"are":[2,12,27],"a":[3,50,96,104],"prevalent":[4],"phenomenon":[5],"in":[6,144],"the":[7,41,59,83,89,107,117,127,135,145,160],"global":[8],"ocean,":[9],"and":[10,18,25,43,62,77,147,166],"extremely":[13],"important":[14],"for":[15,92,106],"ocean":[16,34],"energy":[17],"material":[19],"exchange.":[20],"Therefore,":[21],"effective":[22],"eddy":[23,93,120,130,163],"detection":[24],"tracking":[26,58,128,161],"essential":[28],"to":[29,48,81,87,125,141],"improve":[30,40],"our":[31,155],"understanding":[32],"of":[33,45,57,65,119,129,138,162],"dynamics.":[35],"In":[36,123],"this":[37,69,71,114,132],"paper,":[38],"we":[39],"detector":[42,105,115],"tracker":[44,137],"Deep":[46,139],"SORT":[47,140],"propose":[49],"model":[51],"called":[52],"ET-SORT,":[53,146],"which":[54],"is":[55,101,110],"capable":[56],"motion":[60,164],"trajectory":[61,165],"scale":[63,167],"variation":[64],"eddies.":[66],"To":[67],"accomplish":[68],"task,":[70],"paper":[72,133],"first":[73],"employs":[74],"bilinear":[75],"interpolation":[76],"streamline":[78],"visualization":[79],"methods":[80],"process":[82],"flow":[84],"field":[85],"data":[86],"obtain":[88],"dataset":[90],"required":[91],"tracking.":[94],"Then":[95],"new":[97],"convolutional":[98],"neural":[99],"network":[100],"proposed":[102],"as":[103],"ET-SORT.":[108],"It":[109],"experimentally":[111],"demonstrated":[112],"that":[113,154],"improves":[116],"accuracy":[118],"detection.":[121],"Finally,":[122],"order":[124],"realize":[126],"scale,":[131],"optimizes":[134],"original":[136],"use":[142],"it":[143,148],"can":[149,157],"be":[150],"found":[151],"through":[152],"experiments":[153],"method":[156],"accurately":[158],"achieve":[159],"change.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}