{"id":"https://openalex.org/W4389722524","doi":"https://doi.org/10.1109/lgrs.2023.3341045","title":"SFGT-CD: Semantic Feature-Guided Building Change Detection From Bitemporal Remote-Sensing Images With Transformers","display_name":"SFGT-CD: Semantic Feature-Guided Building Change Detection From Bitemporal Remote-Sensing Images With Transformers","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389722524","doi":"https://doi.org/10.1109/lgrs.2023.3341045"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3341045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3341045","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5002491709","display_name":"Shiyan Pang","orcid":"https://orcid.org/0000-0002-1713-3972"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyan Pang","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1713-3972","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045575035","display_name":"Jingjing Lan","orcid":"https://orcid.org/0009-0008-3581-6479"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Lan","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-3581-6479","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036232469","display_name":"Zhiqi Zuo","orcid":"https://orcid.org/0009-0002-9109-1464"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqi Zuo","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011227681","display_name":"Chen Jia","orcid":"https://orcid.org/0000-0002-8239-4757"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8239-4757","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002491709"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":4.2072,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94772539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9850999712944031,"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":0.9850999712944031,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.965499997138977,"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/change-detection","display_name":"Change detection","score":0.6847638487815857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6032933592796326},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5535012483596802},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4941919147968292},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.48932546377182007},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43309780955314636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39474835991859436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36772847175598145},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1336463987827301},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12026914954185486},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06892767548561096}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6847638487815857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6032933592796326},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5535012483596802},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4941919147968292},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48932546377182007},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43309780955314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39474835991859436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36772847175598145},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1336463987827301},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12026914954185486},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06892767548561096},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3341045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3341045","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4256731588","display_name":null,"funder_award_id":"2021CFB539","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4738384356","display_name":null,"funder_award_id":"22YJC880058","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G6195851879","display_name":null,"funder_award_id":"CCNU23KYZHSY17","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6800637952","display_name":null,"funder_award_id":"CCNU22QN019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G949504025","display_name":null,"funder_award_id":"CCNU22QN011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1955055330","https://openalex.org/W2766049824","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2910587630","https://openalex.org/W2951991161","https://openalex.org/W2963446712","https://openalex.org/W2996290406","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3048064159","https://openalex.org/W3099503507","https://openalex.org/W3120467244","https://openalex.org/W3127751679","https://openalex.org/W3130754787","https://openalex.org/W3139912591","https://openalex.org/W3180045188","https://openalex.org/W4226359564","https://openalex.org/W4281678717","https://openalex.org/W4312549298","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2355368334","https://openalex.org/W2073313993"],"abstract_inverted_index":{"High-resolution":[0],"remote-sensing-image":[1],"change":[2,122,145,157],"detection":[3,146,158],"is":[4,54,97,138],"widely":[5],"used":[6],"in":[7,30,67,99,160],"urban":[8],"dynamic":[9],"monitoring,":[10,16],"geographic":[11],"information":[12,66,108],"updating,":[13],"natural":[14],"disaster":[15],"illegal":[17],"building":[18,47,51,72,110],"investigation,":[19],"and":[20,58,113,148],"land":[21],"resource":[22],"surveys.":[23],"Common":[24],"change-detection":[25,48,73,85,95],"algorithms":[26,147],"are":[27],"mainly":[28],"implemented":[29],"a":[31,38,46,50,71,84,91],"fully":[32],"supervised":[33],"manner":[34],"that":[35,135],"relies":[36],"on":[37,130,156],"large":[39],"number":[40],"of":[41,63,70,89,109,127,154],"high-quality":[42],"samples.":[43],"Compared":[44],"with":[45],"dataset,":[49],"semantic-segmentation":[52],"dataset":[53],"easier":[55],"to":[56,82,119],"accumulate":[57],"obtain.":[59],"Making":[60],"full":[61],"use":[62],"this":[64,100],"semantic":[65,92,111],"the":[68,78,106,115,121,136,142,152,161],"design":[69],"network":[74],"can":[75,149],"effectively":[76,104,150],"reduce":[77,151],"sample":[79],"size":[80],"required":[81],"train":[83],"model.":[86],"In":[87],"view":[88],"this,":[90],"feature-guided":[93],"Siamese":[94],"framework":[96,103,137],"devised":[98],"letter.":[101],"The":[102,125],"exploits":[105],"prior":[107],"features":[112],"uses":[114],"popular":[116],"transformer":[117],"structure":[118],"improve":[120],"analysis":[123],"module.":[124],"results":[126],"extensive":[128],"experiments":[129],"two":[131],"public":[132],"datasets":[133],"show":[134],"more":[139],"accurate":[140],"than":[141],"other":[143],"state-of-the-art":[144],"dependence":[153],"data":[155],"samples":[159],"model":[162],"training":[163],"process.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
