{"id":"https://openalex.org/W3208501207","doi":"https://doi.org/10.3390/rs13214284","title":"DisasterGAN: Generative Adversarial Networks for Remote Sensing Disaster Image Generation","display_name":"DisasterGAN: Generative Adversarial Networks for Remote Sensing Disaster Image Generation","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3208501207","doi":"https://doi.org/10.3390/rs13214284","mag":"3208501207"},"language":"en","primary_location":{"id":"doi:10.3390/rs13214284","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214284","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4284/pdf?version=1635299754","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/2072-4292/13/21/4284/pdf?version=1635299754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101982284","display_name":"Rui Xue","orcid":"https://orcid.org/0000-0002-8116-0334"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Rui","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004299336","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025987638","display_name":"Yu Kang","orcid":"https://orcid.org/0000-0002-8706-3252"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei 230026, China","Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China","State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105883729","display_name":"Weiguo Song","orcid":"https://orcid.org/0000-0001-8863-0530"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiguo Song","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5105883729"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2663,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.93629189,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"21","first_page":"4284","last_page":"4284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9810000061988831,"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/computer-science","display_name":"Computer science","score":0.7814904451370239},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6178722977638245},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5753710865974426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5383186936378479},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5332764387130737},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5197960138320923},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4902108311653137},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4716604948043823},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.44064509868621826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4333750605583191},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4250660836696625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3930482566356659},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3461543917655945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814904451370239},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6178722977638245},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5753710865974426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5383186936378479},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5332764387130737},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5197960138320923},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4902108311653137},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4716604948043823},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.44064509868621826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4333750605583191},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4250660836696625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3930482566356659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3461543917655945},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13214284","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214284","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4284/pdf?version=1635299754","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:c0619a0b74ed40bdb748e1496cd3b225","is_oa":true,"landing_page_url":"https://doaj.org/article/c0619a0b74ed40bdb748e1496cd3b225","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 21, p 4284 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/21/4284/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13214284","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/rs13214284","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214284","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4284/pdf?version=1635299754","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":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208501207.pdf","grobid_xml":"https://content.openalex.org/works/W3208501207.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2183341477","https://openalex.org/W2738588019","https://openalex.org/W2739748921","https://openalex.org/W2891248708","https://openalex.org/W2894931878","https://openalex.org/W2895743108","https://openalex.org/W2922481226","https://openalex.org/W2954996726","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963289251","https://openalex.org/W2963470893","https://openalex.org/W2963767194","https://openalex.org/W2963958441","https://openalex.org/W2963981733","https://openalex.org/W2967473420","https://openalex.org/W2972962088","https://openalex.org/W2992308087","https://openalex.org/W3034600949","https://openalex.org/W3045791386","https://openalex.org/W3093305049","https://openalex.org/W3094387475","https://openalex.org/W3094911348","https://openalex.org/W3096732792","https://openalex.org/W3105672835","https://openalex.org/W3121661546","https://openalex.org/W3183600011","https://openalex.org/W3205440207","https://openalex.org/W6735913928"],"related_works":["https://openalex.org/W4386984417","https://openalex.org/W2476099471","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W2904616728","https://openalex.org/W3119479239","https://openalex.org/W4377980832","https://openalex.org/W3005996785","https://openalex.org/W3178813832"],"abstract_inverted_index":{"Rapid":[0],"progress":[1],"on":[2,111,193],"disaster":[3,37,60,66,101,120,125,129,142],"detection":[4,38],"and":[5,16,35,49,68,102,144,180,206],"assessment":[6,197],"has":[7],"been":[8],"achieved":[9],"with":[10,64,72,210],"the":[11,17,42,50,80,83,98,112,151,154,170,175,184,187,194,200,203,207],"development":[12],"of":[13,20,45,52,82,100,153,186,202],"deep-learning":[14],"techniques":[15],"wide":[18],"applications":[19],"remote":[21,61],"sensing":[22,62],"images.":[23],"However,":[24,87],"it":[25],"is":[26,160],"still":[27],"a":[28,133,145,161],"great":[29],"challenge":[30],"to":[31,41,97,140,148],"train":[32],"an":[33,138],"accurate":[34],"robust":[36],"network":[39],"due":[40,96],"class":[43],"imbalance":[44],"existing":[46,84,88],"data":[47,85,212],"sets":[48],"lack":[51],"training":[53],"data.":[54],"This":[55],"paper":[56],"aims":[57],"at":[58],"synthesizing":[59],"images":[63,126],"multiple":[65,128],"types":[67,130,143],"different":[69],"building":[70,157,196],"damage":[71],"generative":[73],"adversarial":[74],"networks":[75],"(GANs),":[76],"making":[77],"up":[78],"for":[79,127],"shortcomings":[81],"sets.":[86],"models":[89,205],"are":[90],"inefficient":[91],"in":[92],"multi-disaster":[93],"image":[94,163],"translation":[95,121],"diversity":[99],"inevitably":[103],"change":[104],"building-irrelevant":[105],"regions":[106],"caused":[107],"by":[108],"directly":[109],"operating":[110],"whole":[113],"image.":[114],"Thus,":[115],"we":[116],"propose":[117],"two":[118],"models:":[119],"GAN":[122,159],"can":[123,167],"generate":[124],"using":[131],"only":[132,168],"single":[134],"model,":[135,165],"which":[136,166],"uses":[137],"attribute":[139],"represent":[141],"reconstruction":[146],"process":[147],"further":[149],"ensure":[150],"effect":[152],"generator;":[155],"damaged":[156,195],"generation":[158,164],"mask-guided":[162],"alter":[169],"attribute-specific":[171],"region":[172,177],"while":[173],"keeping":[174],"attribute-irrelevant":[176],"unchanged.":[178],"Qualitative":[179],"quantitative":[181],"experiments":[182],"demonstrate":[183],"validity":[185],"proposed":[188,204],"methods.":[189,214],"Further":[190],"experimental":[191],"results":[192],"model":[198],"show":[199],"effectiveness":[201],"superiority":[208],"compared":[209],"other":[211],"augmentation":[213]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}