{"id":"https://openalex.org/W4206096691","doi":"https://doi.org/10.3390/rs14020426","title":"A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery","display_name":"A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4206096691","doi":"https://doi.org/10.3390/rs14020426"},"language":"en","primary_location":{"id":"doi:10.3390/rs14020426","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020426","pdf_url":"https://www.mdpi.com/2072-4292/14/2/426/pdf?version=1642578202","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/2072-4292/14/2/426/pdf?version=1642578202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071480041","display_name":"You-Hyun Baek","orcid":null},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"You-Hyun Baek","raw_affiliation_strings":["Typhoon Research Center, Jeju National University, Jeju 63241, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Typhoon Research Center, Jeju National University, Jeju 63241, Korea","institution_ids":["https://openalex.org/I83202590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074770789","display_name":"Il\u2010Ju Moon","orcid":"https://orcid.org/0000-0001-9370-0900"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Il-Ju Moon","raw_affiliation_strings":["Typhoon Research Center, Jeju National University, Jeju 63241, Korea"],"raw_orcid":"https://orcid.org/0000-0001-9370-0900","affiliations":[{"raw_affiliation_string":"Typhoon Research Center, Jeju National University, Jeju 63241, Korea","institution_ids":["https://openalex.org/I83202590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069161853","display_name":"Jungho Im","orcid":"https://orcid.org/0000-0002-4506-6877"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungho Im","raw_affiliation_strings":["Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea"],"raw_orcid":"https://orcid.org/0000-0002-4506-6877","affiliations":[{"raw_affiliation_string":"Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101914885","display_name":"Ju\u2010Hyun Lee","orcid":"https://orcid.org/0000-0002-1288-3336"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhyun Lee","raw_affiliation_strings":["Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074770789"],"corresponding_institution_ids":["https://openalex.org/I83202590"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1699,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85811714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"426","last_page":"426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.996399998664856,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9865999817848206,"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/geostationary-orbit","display_name":"Geostationary orbit","score":0.8724086284637451},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6586653590202332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831247568130493},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5777608156204224},{"id":"https://openalex.org/keywords/tropical-cyclone","display_name":"Tropical cyclone","score":0.5760664343833923},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5424299240112305},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4793337285518646},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.44519221782684326},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4205150008201599},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3432929515838623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25813108682632446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1592346727848053},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12089225649833679},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08521705865859985}],"concepts":[{"id":"https://openalex.org/C16405173","wikidata":"https://www.wikidata.org/wiki/Q192316","display_name":"Geostationary orbit","level":3,"score":0.8724086284637451},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6586653590202332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831247568130493},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5777608156204224},{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.5760664343833923},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5424299240112305},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4793337285518646},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.44519221782684326},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4205150008201599},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3432929515838623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25813108682632446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1592346727848053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12089225649833679},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08521705865859985},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs14020426","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020426","pdf_url":"https://www.mdpi.com/2072-4292/14/2/426/pdf?version=1642578202","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:a282318120b94a928ae37d32f1685210","is_oa":true,"landing_page_url":"https://doaj.org/article/a282318120b94a928ae37d32f1685210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 14, Iss 2, p 426 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/2/426/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14020426","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; Volume 14; Issue 2; Pages: 426","raw_type":"Text"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/57611","is_oa":true,"landing_page_url":"https://www.mdpi.com/2072-4292/14/2/426","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"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":"","raw_type":"ARTICLE"}],"best_oa_location":{"id":"doi:10.3390/rs14020426","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020426","pdf_url":"https://www.mdpi.com/2072-4292/14/2/426/pdf?version=1642578202","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/G2386173100","display_name":null,"funder_award_id":"2021R1A2C1005287","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322011","display_name":"Ministry of Oceans and Fisheries","ror":"https://ror.org/00c5s4a53"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4206096691.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W104184427","https://openalex.org/W1533861849","https://openalex.org/W1645858368","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1869625623","https://openalex.org/W1891464491","https://openalex.org/W1907729166","https://openalex.org/W1924259476","https://openalex.org/W1988720110","https://openalex.org/W1992208280","https://openalex.org/W1998824063","https://openalex.org/W2005019999","https://openalex.org/W2007904221","https://openalex.org/W2010037929","https://openalex.org/W2039007719","https://openalex.org/W2043255490","https://openalex.org/W2067495870","https://openalex.org/W2067625322","https://openalex.org/W2075291473","https://openalex.org/W2079456164","https://openalex.org/W2080441940","https://openalex.org/W2086431544","https://openalex.org/W2090300412","https://openalex.org/W2098567410","https://openalex.org/W2099319298","https://openalex.org/W2105418357","https://openalex.org/W2123639010","https://openalex.org/W2124930447","https://openalex.org/W2125313615","https://openalex.org/W2134237428","https://openalex.org/W2135066958","https://openalex.org/W2146502635","https://openalex.org/W2154579312","https://openalex.org/W2155584538","https://openalex.org/W2158456548","https://openalex.org/W2163605009","https://openalex.org/W2174421778","https://openalex.org/W2179313963","https://openalex.org/W2212330491","https://openalex.org/W2295107390","https://openalex.org/W2338905318","https://openalex.org/W2556522401","https://openalex.org/W2766018291","https://openalex.org/W2899315938","https://openalex.org/W2902003737","https://openalex.org/W2913340405","https://openalex.org/W2919354935","https://openalex.org/W2932915765","https://openalex.org/W2949844523","https://openalex.org/W2962858109","https://openalex.org/W2974457110","https://openalex.org/W2998068843","https://openalex.org/W3040858621","https://openalex.org/W3088132247","https://openalex.org/W3101643671","https://openalex.org/W3103850820","https://openalex.org/W3130983214","https://openalex.org/W4249365006","https://openalex.org/W6639079861","https://openalex.org/W6681435938","https://openalex.org/W6684191040","https://openalex.org/W6713134421","https://openalex.org/W6730169791","https://openalex.org/W6757107679","https://openalex.org/W6763542523"],"related_works":["https://openalex.org/W2023364053","https://openalex.org/W137969429","https://openalex.org/W2372577889","https://openalex.org/W2348416959","https://openalex.org/W3183138738","https://openalex.org/W2069341891","https://openalex.org/W2318985527","https://openalex.org/W2388584362","https://openalex.org/W3011549223","https://openalex.org/W2966054461"],"abstract_inverted_index":{"A":[0],"novel":[1],"tropical":[2],"cyclone":[3],"(TC)":[4],"size":[5],"estimation":[6],"model":[7,41,65,77,84,134,140,163,207],"(TC-SEM)":[8],"in":[9,160,221],"the":[10,45,52,60,68,97,100,103,132,138,161,166,169,193],"western":[11],"North":[12],"Pacific":[13],"was":[14,32],"developed":[15],"based":[16],"on":[17],"a":[18,38,62,74,214],"convolutional":[19],"neural":[20],"network":[21],"(CNN)":[22],"using":[23,34,78,208],"geostationary":[24,93,209],"satellite":[25,94,210],"infrared":[26],"(IR)":[27],"images.":[28],"The":[29,128,154,201],"proposed":[30],"TC-SEM":[31],"tested":[33],"three":[35],"CNN":[36,206],"schemes:":[37],"single-task":[39,139],"regression":[40,64,76,198],"that":[42,66,131,204],"separately":[43],"estimated":[44,67],"radius":[46,53],"of":[47,54,59,96,102,156,168,179,195],"maximum":[48],"wind":[49,57],"(RMW)":[50],"and":[51,70,73,87,91,124,145,171,183],"34":[55],"kt":[56],"(R34)":[58],"TC,":[61,104],"multi-task":[63,75,133,162],"RMW":[69,170],"R34":[71,172],"simultaneously,":[72],"best-track":[79],"TC":[80,157,219,223],"intensity":[81,158],"information.":[82],"For":[83],"training,":[85],"validation,":[86],"testing,":[88],"29,730,":[89],"2505,":[90],"11,624":[92],"images":[95,211],"region":[98],"around":[99],"center":[101],"respectively,":[105,187],"were":[106],"used,":[107],"each":[108],"containing":[109],"four":[110],"IR":[111,114],"bands:":[112],"short-wavelength":[113],"(3.7":[115],"\u00b5m),":[116,120,123],"water":[117],"vapor":[118],"(6.7":[119],"IR1":[121],"(10.8":[122],"IR2":[125],"(12.0":[126],"\u00b5m).":[127],"results":[129,202],"showed":[130],"performed":[135],"better":[136],"than":[137],"due":[141],"to":[142,148],"knowledge":[143],"sharing":[144],"its":[146],"ability":[147],"solve":[149],"multiple":[150],"interrelated":[151],"tasks":[152],"simultaneously.":[153],"inclusion":[155],"information":[159],"further":[164],"improved":[165],"performance":[167,194],"estimations,":[173],"with":[174],"correlations":[175],"(mean":[176],"absolute":[177],"errors)":[178],"0.95":[180],"(2.05":[181],"nmi)":[182],"0.93":[184],"(9.77":[185],"nmi),":[186],"which":[188],"represent":[189],"significant":[190],"improvements":[191],"over":[192],"existing":[196],"linear":[197],"statistical":[199],"methods.":[200],"suggested":[203],"this":[205],"may":[212],"be":[213],"powerful":[215],"tool":[216],"for":[217],"estimating":[218],"sizes":[220],"operational":[222],"forecasts.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2022-01-26T00:00:00"}
