{"id":"https://openalex.org/W4405967990","doi":"https://doi.org/10.1109/tgrs.2024.3524547","title":"EGAFNet: An Edge Guidance and Scale-Aware Adaptive Fusion Network for Building Extraction From Remote Sensing Images","display_name":"EGAFNet: An Edge Guidance and Scale-Aware Adaptive Fusion Network for Building Extraction From Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4405967990","doi":"https://doi.org/10.1109/tgrs.2024.3524547"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3524547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3524547","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5102795181","display_name":"Mingwang Yang","orcid":"https://orcid.org/0009-0008-1598-3165"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingwang Yang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014166693","display_name":"Lixia Zhao","orcid":"https://orcid.org/0009-0003-5574-7515"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Like Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089972660","display_name":"Linfeng Ye","orcid":"https://orcid.org/0009-0009-2355-1773"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfeng Ye","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111462199","display_name":"Wenjun Jia","orcid":"https://orcid.org/0009-0006-9580-2234"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weishi Jia","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014704952","display_name":"Jiang Huawei","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Jiang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101908716","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0002-2347-2225"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102795181"],"corresponding_institution_ids":["https://openalex.org/I36152291"],"apc_list":null,"apc_paid":null,"fwci":8.0334,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96971001,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"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":0.996399998664856,"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":0.9940999746322632,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896722912788391},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5713105201721191},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5659236311912537},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.513384222984314},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4887552261352539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48170262575149536},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4734004735946655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45014387369155884},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4325619339942932},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19193261861801147},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09543323516845703},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09284025430679321}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896722912788391},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5713105201721191},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5659236311912537},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.513384222984314},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4887552261352539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48170262575149536},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4734004735946655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45014387369155884},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4325619339942932},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19193261861801147},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09543323516845703},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09284025430679321},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3524547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3524547","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2610831151","display_name":null,"funder_award_id":"41901276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5242359743","display_name":null,"funder_award_id":"41901265","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":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2026723939","https://openalex.org/W2085665642","https://openalex.org/W2183341477","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2555182955","https://openalex.org/W2618530766","https://openalex.org/W2908320224","https://openalex.org/W2916172883","https://openalex.org/W3017971322","https://openalex.org/W3048631361","https://openalex.org/W3129784683","https://openalex.org/W3168588044","https://openalex.org/W3217005392","https://openalex.org/W4206007731","https://openalex.org/W4210602961","https://openalex.org/W4213172700","https://openalex.org/W4229056879","https://openalex.org/W4229441694","https://openalex.org/W4291913402","https://openalex.org/W4293334967","https://openalex.org/W4313166909","https://openalex.org/W4313259648","https://openalex.org/W4315977514","https://openalex.org/W4376891040","https://openalex.org/W4385859309","https://openalex.org/W4388520273","https://openalex.org/W4390187329","https://openalex.org/W4391454392","https://openalex.org/W4392172806","https://openalex.org/W4396909873","https://openalex.org/W4399619735","https://openalex.org/W4403737996","https://openalex.org/W6631190155","https://openalex.org/W6711496616","https://openalex.org/W6726497184","https://openalex.org/W6750469568","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2377297411","https://openalex.org/W3148217948","https://openalex.org/W2375788636","https://openalex.org/W2358561207","https://openalex.org/W2975617233","https://openalex.org/W2388704129","https://openalex.org/W2392827053","https://openalex.org/W2377877252","https://openalex.org/W2052899165","https://openalex.org/W2362914816"],"abstract_inverted_index":{"Accurately":[0],"extracting":[1],"buildings":[2,23,56],"from":[3,25],"high-resolution":[4],"remote":[5,26,74],"sensing":[6,27,75],"images":[7,28],"is":[8,71,134],"crucial":[9],"for":[10,73,107,164],"urban":[11],"planning,":[12],"smart":[13],"city":[14],"construction,":[15],"map":[16],"updating,":[17],"and":[18,36,45,52,60,83,95,111,171,191,213,236],"other":[19,217],"fields.":[20],"However,":[21],"the":[22,41,47,53,81,89,93,99,120,125,139,144,149,162,168,181,187,207,210,229,233,238],"extracted":[24],"still":[29],"have":[30],"deficiencies":[31],"such":[32],"as":[33,80,88],"fuzzy":[34],"boundaries":[35],"poor":[37],"integrity":[38],"due":[39],"to":[40,91,118,123,136,142,147,176],"occlusion":[42],"of":[43,49,55,101,167,180,194,197,232],"trees":[44],"shadows,":[46],"interference":[48],"redundant":[50],"information,":[51,104],"characteristics":[54],"with":[57,216],"different":[58,150],"shapes":[59],"scales.":[61],"In":[62,127],"this":[63],"paper,":[64],"a":[65,105,129,156,192],"novel":[66],"building":[67,189,195,219,240,247],"extraction":[68,220],"model":[69],"EGAFNet":[70,208,225],"proposed":[72],"images,":[76],"which":[77],"utilizes":[78],"EfficientNetV2":[79],"encoder":[82],"multiscale":[84],"feature":[85,241],"enhancement":[86],"module":[87,115,133],"decoder":[90],"improve":[92,228],"accuracy":[94],"efficiency.":[96],"To":[97],"address":[98],"issue":[100],"missing":[102],"boundary":[103,109,234],"branch":[106],"extract":[108],"features":[110,141],"an":[112],"edge":[113],"guidance":[114],"are":[116,184],"constructed":[117],"enhance":[119,143,237],"network\u2019s":[121,145],"ability":[122,146,231],"express":[124],"boundary.":[126],"addition,":[128],"scale-aware":[130],"adaptive":[131],"fusion":[132],"designed":[135],"adaptively":[137],"aggregate":[138],"multi-scale":[140,239],"capture":[148],"scale":[151],"features.":[152],"We":[153],"also":[154],"adopt":[155],"multi-layer":[157],"supervision":[158],"strategy":[159],"that":[160,206,224],"predict":[161],"outputs":[163],"each":[165],"layer":[166],"decoding":[169],"phase":[170],"impose":[172],"multi-level":[173],"loss":[174],"constraints":[175],"achieve":[177],"fast":[178],"fitting":[179],"model.":[182],"Experiments":[183],"conducted":[185],"on":[186],"WHU":[188],"dataset":[190,193],"instances":[196],"typical":[198,218],"cities":[199],"in":[200],"China.":[201],"The":[202,249],"experimental":[203],"results":[204],"demonstrate":[205],"achieves":[209],"best":[211],"F1-score":[212],"IoU":[214],"compared":[215],"methods.":[221],"It":[222],"suggests":[223],"can":[226],"effectively":[227],"learning":[230],"information":[235],"representation,":[242],"thus":[243],"realizing":[244],"more":[245],"accurate":[246],"extraction.":[248],"code":[250],"will":[251],"be":[252],"available":[253],"at":[254],"https://github.com/Mwyang/EGAFNet.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}