{"id":"https://openalex.org/W3206666125","doi":"https://doi.org/10.1109/igarss47720.2021.9554759","title":"Tropical Cyclone Size Estimation Using Deep Convolutional Neural Network","display_name":"Tropical Cyclone Size Estimation Using Deep Convolutional Neural Network","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206666125","doi":"https://doi.org/10.1109/igarss47720.2021.9554759","mag":"3206666125"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5091558032","display_name":"Fan Meng","orcid":"https://orcid.org/0000-0002-1462-4696"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Meng","raw_affiliation_strings":["School of Geosciences, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052782437","display_name":"Pengfei Xie","orcid":"https://orcid.org/0000-0002-7521-157X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Xie","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774227","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7108-6532"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108830721","display_name":"Handan Sun","orcid":"https://orcid.org/0000-0002-2506-0734"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Handan Sun","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029202675","display_name":"Danya Xu","orcid":"https://orcid.org/0000-0001-9172-4669"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]},{"id":"https://openalex.org/I4391012567","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)","ror":"https://ror.org/03swgqh13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danya Xu","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), Zhuhai, China","institution_ids":["https://openalex.org/I4210106122","https://openalex.org/I4391012567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006420025","display_name":"Tao Song","orcid":"https://orcid.org/0000-0002-0130-3340"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Song","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8472","last_page":"8475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9997000098228455,"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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9997000098228455,"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/T12424","display_name":"Earthquake Detection and Analysis","score":0.9376000165939331,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tropical-cyclone","display_name":"Tropical cyclone","score":0.9176110029220581},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6615800261497498},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5592646598815918},{"id":"https://openalex.org/keywords/tropical-cyclone-forecast-model","display_name":"Tropical cyclone forecast model","score":0.5411957502365112},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5199598073959351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.472536563873291},{"id":"https://openalex.org/keywords/cyclone","display_name":"Cyclone (programming language)","score":0.46598759293556213},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45356863737106323},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39569684863090515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3302779495716095},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18590649962425232}],"concepts":[{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.9176110029220581},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6615800261497498},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5592646598815918},{"id":"https://openalex.org/C102561126","wikidata":"https://www.wikidata.org/wiki/Q17164865","display_name":"Tropical cyclone forecast model","level":3,"score":0.5411957502365112},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5199598073959351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.472536563873291},{"id":"https://openalex.org/C2777864850","wikidata":"https://www.wikidata.org/wiki/Q79598","display_name":"Cyclone (programming language)","level":3,"score":0.46598759293556213},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45356863737106323},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39569684863090515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3302779495716095},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18590649962425232},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6899999976158142,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G3385956737","display_name":null,"funder_award_id":"61873280,61873281,61672033,61672248,61972416,U1811464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8326439326","display_name":null,"funder_award_id":"2018YFC1406205,2018YFC1406201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8870393515","display_name":null,"funder_award_id":"ZR2019MF012","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2039007719","https://openalex.org/W2090300412","https://openalex.org/W2095705004","https://openalex.org/W2120352544","https://openalex.org/W2135066958","https://openalex.org/W2173775567","https://openalex.org/W2174075503","https://openalex.org/W2302255633","https://openalex.org/W2766018291","https://openalex.org/W2919354935","https://openalex.org/W2949117887","https://openalex.org/W2963446712","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6698183232"],"related_works":["https://openalex.org/W2339051591","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W34687571","https://openalex.org/W2587789466","https://openalex.org/W2998547477","https://openalex.org/W152062121","https://openalex.org/W3167935049"],"abstract_inverted_index":{"The":[0],"accurate":[1],"estimation":[2],"of":[3,10,27,37,43,55,89,121,128],"tropical":[4,38,56,66,129],"cyclone":[5],"(TC)":[6],"size":[7,36,54,127],"is":[8,47,93,97],"one":[9],"the":[11,25,35,41,48,53,77,82,86,95,101,118,126],"key":[12],"steps":[13],"in":[14,124],"TC":[15],"forecasting":[16],"and":[17,113],"disaster":[18],"warninglmanagement.":[19],"In":[20],"this":[21,46],"study,":[22],"we":[23,62],"proposed":[24,91],"use":[26,63],"deep":[28,59,122],"convolutional":[29],"neural":[30],"networks":[31],"(CNN)":[32],"to":[33,51],"estimate":[34,52],"cyclone.":[39],"To":[40],"best":[42,83],"our":[44,90],"knowledge,":[45],"first":[49],"study":[50],"cyclones":[57,67],"using":[58],"learning":[60,123],"methods;":[61],"about":[64,70],"1,000":[65],"which":[68,116],"contain":[69],"30,000":[71],"infrared":[72],"remote":[73],"sensing":[74],"images":[75],"as":[76],"data":[78],"set.":[79],"Compared":[80],"with":[81],"track":[84],"archives,":[85],"mean":[87],"error":[88,96],"model":[92],"24nmi,":[94],"even":[98],"smaller":[99],"than":[100],"Multiplatform":[102],"Tropical":[103],"Cyclone":[104],"Surface":[105],"Winds":[106],"Analysis":[107],"(MTCSWA)":[108],"operated":[109],"by":[110],"National":[111],"Oceanic":[112],"Atmospheric":[114],"Administration(NOAA),":[115],"shows":[117],"great":[119],"potential":[120],"estimating":[125],"cyclones.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
