{"id":"https://openalex.org/W4295532972","doi":"https://doi.org/10.3390/rs14184524","title":"Building Change Detection Based on an Edge-Guided Convolutional Neural Network Combined with a Transformer","display_name":"Building Change Detection Based on an Edge-Guided Convolutional Neural Network Combined with a Transformer","publication_year":2022,"publication_date":"2022-09-10","ids":{"openalex":"https://openalex.org/W4295532972","doi":"https://doi.org/10.3390/rs14184524"},"language":"en","primary_location":{"id":"doi:10.3390/rs14184524","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184524","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4524/pdf?version=1663128727","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/2072-4292/14/18/4524/pdf?version=1663128727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034792178","display_name":"Liegang Xia","orcid":"https://orcid.org/0000-0003-3190-0178"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liegang Xia","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450245","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0003-0999-3902"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645913","display_name":"Jiancheng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Luo","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018122772","display_name":"Junxia Zhang","orcid":"https://orcid.org/0000-0002-8753-1650"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025669572","display_name":"Dezhi Yang","orcid":"https://orcid.org/0000-0002-2624-1887"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhi Yang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030147702","display_name":"Zhanfeng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanfeng Shen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034792178"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.2944,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95043455,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"14","issue":"18","first_page":"4524","last_page":"4524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9966999888420105,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9839000105857849,"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/computer-science","display_name":"Computer science","score":0.7363359928131104},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6686045527458191},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5877513289451599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751229524612427},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5520869493484497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5159340500831604},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.50227952003479},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4527842700481415},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43012726306915283},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4024685025215149}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363359928131104},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6686045527458191},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5877513289451599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751229524612427},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5520869493484497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5159340500831604},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.50227952003479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4527842700481415},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43012726306915283},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4024685025215149},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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":3,"locations":[{"id":"doi:10.3390/rs14184524","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184524","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4524/pdf?version=1663128727","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:3e8f86dfb44643b4ad382532f1ffcd2b","is_oa":true,"landing_page_url":"https://doaj.org/article/3e8f86dfb44643b4ad382532f1ffcd2b","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":"Remote Sensing, Vol 14, Iss 18, p 4524 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/18/4524/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14184524","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/rs14184524","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184524","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4524/pdf?version=1663128727","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":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3219270141","display_name":null,"funder_award_id":"41701472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7525910500","display_name":null,"funder_award_id":"41971375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7664603098","display_name":null,"funder_award_id":"42071316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4295532972.pdf","grobid_xml":"https://content.openalex.org/works/W4295532972.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W583840041","https://openalex.org/W1760020758","https://openalex.org/W1963949604","https://openalex.org/W1972022496","https://openalex.org/W2011572981","https://openalex.org/W2042141552","https://openalex.org/W2107361801","https://openalex.org/W2108262882","https://openalex.org/W2118116484","https://openalex.org/W2126092053","https://openalex.org/W2157026765","https://openalex.org/W2161001197","https://openalex.org/W2165577558","https://openalex.org/W2170140722","https://openalex.org/W2194775991","https://openalex.org/W2280565539","https://openalex.org/W2412782625","https://openalex.org/W2463238921","https://openalex.org/W2471141653","https://openalex.org/W2593716554","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2914651367","https://openalex.org/W2939781831","https://openalex.org/W3004423752","https://openalex.org/W3027225766","https://openalex.org/W3099503507","https://openalex.org/W3104899156","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3141138843","https://openalex.org/W3142421496","https://openalex.org/W3196294958","https://openalex.org/W3198533054","https://openalex.org/W4225622501","https://openalex.org/W4312549298","https://openalex.org/W4327652243","https://openalex.org/W6719124172","https://openalex.org/W6790731625","https://openalex.org/W6800650900","https://openalex.org/W6801169741","https://openalex.org/W7038431276"],"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/W4390516098","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2181948922","https://openalex.org/W2015705630"],"abstract_inverted_index":{"Change":[0],"detection":[1,35,94,141,212],"extracts":[2],"change":[3,34,93,211],"areas":[4],"in":[5,15,28,63,77,167],"bitemporal":[6,29],"remote":[7,30],"sensing":[8,31],"images,":[9,32],"and":[10,18,25,41,53,74,108,132,159,162,170,181,186,195,200],"plays":[11],"an":[12,139],"important":[13],"role":[14],"urban":[16],"construction":[17],"coordination.":[19],"However,":[20],"due":[21],"to":[22,148],"image":[23],"offsets":[24],"brightness":[26],"differences":[27],"traditional":[33],"algorithms":[36,48],"often":[37],"have":[38,128],"reduced":[39],"applicability":[40,52],"accuracy.":[42],"The":[43],"development":[44],"of":[45,184,198],"deep":[46],"learning-based":[47],"has":[49],"improved":[50,133],"their":[51],"accuracy;":[54],"however,":[55],"existing":[56],"models":[57],"use":[58],"either":[59],"convolutions":[60],"or":[61],"transformers":[62],"the":[64,120,157,175,189],"feature":[65,69],"encoding":[66,121],"stage.":[67,122],"During":[68],"extraction,":[70],"local":[71],"fine":[72],"features":[73,76],"global":[75,116],"images":[78],"cannot":[79],"always":[80],"be":[81],"obtained":[82],"simultaneously.":[83],"To":[84],"address":[85],"these":[86],"issues,":[87],"we":[88,137,178,192],"propose":[89,138],"a":[90,98],"novel":[91],"end-to-end":[92],"network":[95,106],"(EGCTNet)":[96],"with":[97],"fusion":[99],"encoder":[100],"(FE)":[101],"that":[102,125,144,205],"combines":[103],"convolutional":[104],"neural":[105],"(CNN)":[107],"transformer":[109],"features.":[110,135,151],"An":[111],"intermediate":[112],"decoder":[113],"(IMD)":[114],"eliminates":[115],"noise":[117],"introduced":[118],"during":[119],"We":[123,152],"noted":[124],"ground":[126],"objects":[127],"clearer":[129],"semantic":[130],"information":[131],"edge":[134,140],"Therefore,":[136],"branch":[142],"(EDB)":[143],"uses":[145],"object":[146],"edges":[147],"guide":[149],"mask":[150],"conducted":[153],"extensive":[154],"experiments":[155],"on":[156],"LEVIR-CD":[158,176],"WHU-CD":[160,190],"datasets,":[161],"EGCTNet":[163],"exhibits":[164],"good":[165],"performance":[166],"detecting":[168],"small":[169],"large":[171],"building":[172],"objects.":[173],"On":[174,188],"dataset,":[177,191],"obtain":[179,193],"F1":[180,194],"IoU":[182,196],"scores":[183,197],"0.9008":[185],"0.8295.":[187],"0.9070":[199],"0.8298.":[201],"Experimental":[202],"results":[203],"show":[204],"our":[206],"model":[207],"outperforms":[208],"several":[209],"previous":[210],"methods.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
