{"id":"https://openalex.org/W7125972576","doi":"https://doi.org/10.1109/access.2026.3659083","title":"Automatic Generation Method for Urban Change Detection Dataset","display_name":"Automatic Generation Method for Urban Change Detection Dataset","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125972576","doi":"https://doi.org/10.1109/access.2026.3659083"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3659083","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659083","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3659083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124130726","display_name":"Jinsu Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jinsu Ha","raw_affiliation_strings":["Advanced Mobility and Robot Components Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Advanced Mobility and Robot Components Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I89004649","https://openalex.org/I4210152654"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Byeong Hak Kim","orcid":"https://orcid.org/0000-0002-2798-7154"},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeong Hak Kim","raw_affiliation_strings":["Advanced Mobility and Robot System Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Advanced Mobility and Robot System Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I89004649","https://openalex.org/I4210152654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110186837","display_name":"Dae-Cheol Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae-Cheol Ko","raw_affiliation_strings":["Department of Nanomechatronics Engineering, Pusan National University, Pusan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Nanomechatronics Engineering, Pusan National University, Pusan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124095978","display_name":"Hong-in Won","orcid":null},"institutions":[{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong-In Won","raw_affiliation_strings":["Manufacturing AI Research Center, Korea Institute of Industrial Technology, Incheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Manufacturing AI Research Center, Korea Institute of Industrial Technology, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I89004649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124111029","display_name":"Jinseok Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinseok Jang","raw_affiliation_strings":["Advanced Mobility and Robot Components Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Advanced Mobility and Robot Components Group, Korea Institute of Industrial Technology, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I89004649","https://openalex.org/I4210152654"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5124130726"],"corresponding_institution_ids":["https://openalex.org/I4210152654","https://openalex.org/I89004649"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19928587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"16984","last_page":"16994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.008100000210106373,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/change-detection","display_name":"Change detection","score":0.7443000078201294},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.728600025177002},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6308000087738037},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.48170000314712524},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41350001096725464},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.37310001254081726},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058000206947327},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7443000078201294},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.728600025177002},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5418999791145325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4878000020980835},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.48170000314712524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48030000925064087},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4115000069141388},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.259799987077713}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3659083","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659083","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:032163032d84456daec7a262967a0b69","is_oa":true,"landing_page_url":"https://doaj.org/article/032163032d84456daec7a262967a0b69","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 16984-16994 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3659083","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659083","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8047847747802734,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2424784800","display_name":null,"funder_award_id":"EH-25-0001","funder_id":"https://openalex.org/F4320322092","funder_display_name":"Korea Institute of Industrial Technology"},{"id":"https://openalex.org/G4467297790","display_name":null,"funder_award_id":"00225527","funder_id":"https://openalex.org/F4320327819","funder_display_name":"Ministry of SMEs and Startups"},{"id":"https://openalex.org/G8448504513","display_name":null,"funder_award_id":"00507547","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322092","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657"},{"id":"https://openalex.org/F4320327819","display_name":"Ministry of SMEs and Startups","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1976148147","https://openalex.org/W2036798369","https://openalex.org/W2055718260","https://openalex.org/W2103018059","https://openalex.org/W2157026765","https://openalex.org/W2332105609","https://openalex.org/W2725897987","https://openalex.org/W2754099573","https://openalex.org/W2805152403","https://openalex.org/W2884367402","https://openalex.org/W2896365540","https://openalex.org/W2908320224","https://openalex.org/W2940612399","https://openalex.org/W2962785568","https://openalex.org/W3015756600","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3130754787","https://openalex.org/W3173557144","https://openalex.org/W3180045188","https://openalex.org/W3184566187","https://openalex.org/W3197048794","https://openalex.org/W3198730749","https://openalex.org/W3199003182","https://openalex.org/W4283776488","https://openalex.org/W4289823956","https://openalex.org/W4311849222","https://openalex.org/W4312549298","https://openalex.org/W4319300062","https://openalex.org/W4367016228","https://openalex.org/W4377079808","https://openalex.org/W4385756411","https://openalex.org/W4390874575","https://openalex.org/W4391892563","https://openalex.org/W4394843969","https://openalex.org/W4399768332","https://openalex.org/W4403295779","https://openalex.org/W4404612908","https://openalex.org/W4413926282","https://openalex.org/W4414856455","https://openalex.org/W7083315932"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"an":[3],"inpainting-based":[4,135],"data":[5,54,86,119,137,178],"generation":[6],"approach":[7],"for":[8,145],"urban":[9,150],"change":[10,44,73,151,170],"detection":[11,45,74],"and":[12,28,62,164,172],"analyzes":[13],"its":[14],"impact":[15],"on":[16,109,127,157],"the":[17,52,59,84,92,103,110,117,147,159,175],"model":[18,111],"generalization":[19,95,124],"performance.":[20],"The":[21,79],"proposed":[22],"method":[23],"constructs":[24],"temporally":[25],"consistent":[26],"before":[27],"after":[29],"image":[30],"pairs":[31],"by":[32],"applying":[33],"inpainting":[34],"to":[35,57,122],"existing":[36,43],"images,":[37],"thereby":[38],"enabling":[39],"seamless":[40],"integration":[41],"with":[42,116],"frameworks.":[46],"Rather":[47],"than":[48],"replacing":[49],"real-world":[50],"datasets,":[51],"generated":[53,85,118],"were":[55,68],"designed":[56],"increase":[58],"training":[60,89,115,143],"diversity":[61],"mitigate":[63],"dataset-specific":[64],"biases.":[65],"Comprehensive":[66],"experiments":[67],"conducted":[69],"using":[70],"multiple":[71],"representative":[72],"architectures":[75],"across":[76],"different":[77],"datasets.":[78],"results":[80],"show":[81],"that":[82,134],"incorporating":[83],"alongside":[87],"real":[88,128,165],"samples":[90],"improves":[91],"cross":[93],"dataset":[94],"performance,":[96],"particularly":[97],"in":[98],"unseen":[99],"target":[100],"domains,":[101],"whereas":[102],"degree":[104],"of":[105,149,177],"improvement":[106],"varies":[107],"depending":[108],"characteristics.":[112],"By":[113],"contrast,":[114],"alone":[120],"leads":[121],"limited":[123],"when":[125],"evaluated":[126],"test":[129],"sets.":[130],"These":[131],"findings":[132],"indicate":[133],"synthetic":[136,163],"can":[138],"serve":[139],"as":[140],"a":[141],"complementary":[142],"resource":[144],"enhancing":[146],"robustness":[148],"detection.":[152],"Future":[153],"work":[154],"will":[155],"focus":[156],"reducing":[158],"domain":[160],"gap":[161],"between":[162],"data,":[166],"generating":[167],"more":[168],"diverse":[169],"scenarios,":[171],"further":[173],"improving":[174],"reliability":[176],"quality":[179],"assessment.":[180]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}