{"id":"https://openalex.org/W2901007966","doi":"https://doi.org/10.1109/igarss.2018.8518069","title":"Typhoon Cloud Prediction Via Generative Adversarial Networks","display_name":"Typhoon Cloud Prediction Via Generative Adversarial Networks","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901007966","doi":"https://doi.org/10.1109/igarss.2018.8518069","mag":"2901007966"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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/A5103151229","display_name":"Hui Li","orcid":"https://orcid.org/0000-0002-7948-4241"},"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":"Hui Li","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021829944","display_name":"Xingrui Yu","orcid":"https://orcid.org/0000-0002-8941-2698"},"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":"Xingrui Yu","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100767704","display_name":"Peng Ren","orcid":"https://orcid.org/0000-0003-3949-985X"},"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":"Peng Ren","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.1369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51994057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"3023","last_page":"3026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9961000084877014,"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/typhoon","display_name":"Typhoon","score":0.9562218189239502},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8420015573501587},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.792935848236084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7186873555183411},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6085965633392334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705042541027069},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42261356115341187},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4219472110271454},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4130188226699829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3517739176750183},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12299981713294983},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09600898623466492},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06402462720870972}],"concepts":[{"id":"https://openalex.org/C181654704","wikidata":"https://www.wikidata.org/wiki/Q140588","display_name":"Typhoon","level":2,"score":0.9562218189239502},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8420015573501587},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.792935848236084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186873555183411},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6085965633392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705042541027069},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42261356115341187},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4219472110271454},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4130188226699829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3517739176750183},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12299981713294983},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09600898623466492},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06402462720870972},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2018.8518069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/133616","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/133616","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2294763720","https://openalex.org/W2368127268","https://openalex.org/W2592232824","https://openalex.org/W2963125871","https://openalex.org/W3148140980","https://openalex.org/W4297772798","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6691096134"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,16,22,25,81,87,116],"novel":[3],"typhoon":[4,41,47,60,112,121],"cloud":[5,33,48,72,99,137],"prediction":[6,18,122],"method":[7,103,129],"via":[8],"generative":[9],"adversarial":[10,17],"networks":[11],"(GANs).":[12],"Specifically,":[13],"we":[14,79],"develop":[15],"model":[19],"consisting":[20],"of":[21,40,96,110,126],"generator":[23,28,54],"and":[24,86],"discriminator.":[26],"The":[27,101,124],"generates":[29],"the":[30,37,53,56,63,66,69,75,94,97,106,111,127,134],"continuous":[31,45],"future":[32,71],"images":[34,73],"by":[35],"learning":[36],"evolution":[38,109],"trend":[39],"clouds":[42],"from":[43,74],"multiple":[44],"historical":[46],"images.":[49,100,138],"In":[50],"this":[51],"way,":[52],"completes":[55],"visual":[57,117],"predictions":[58],"for":[59,119],"clouds.":[61],"On":[62],"other":[64],"hand,":[65],"discriminator":[67],"distinguishes":[68],"generated":[70,98],"real":[76,135],"ones.":[77],"Furthermore,":[78],"adopt":[80],"gradient":[82],"difference":[83],"loss":[84,90],"function":[85,91],"total":[88],"variation":[89],"to":[92],"improve":[93],"quality":[95],"proposed":[102,128],"effectively":[104],"predicts":[105],"whole":[107],"spatial-temporal":[108],"clouds,":[113],"resulting":[114],"in":[115,133],"complement":[118],"classic":[120],"methods.":[123],"effectiveness":[125],"has":[130],"been":[131],"evaluated":[132],"satellite":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}