{"id":"https://openalex.org/W4409223245","doi":"https://doi.org/10.1109/access.2025.3556738","title":"BuildWin-SAM: An Improved SAM-Based Method for Extracting Building Windows From Street View Images","display_name":"BuildWin-SAM: An Improved SAM-Based Method for Extracting Building Windows From Street View Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409223245","doi":"https://doi.org/10.1109/access.2025.3556738"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3556738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3556738","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.2025.3556738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhengnan Li","orcid":"https://orcid.org/0009-0007-3600-9911"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengnan Li","raw_affiliation_strings":["School of Ecology and Environment, Renmin University of China, Beijing, China","School of Ecology & Environment, Renmin University of China, Beijing, PR China"],"raw_orcid":"https://orcid.org/0009-0007-3600-9911","affiliations":[{"raw_affiliation_string":"School of Ecology and Environment, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Ecology & Environment, Renmin University of China, Beijing, PR China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029721286","display_name":"Yizhen Yan","orcid":"https://orcid.org/0000-0003-4105-3961"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhen Yan","raw_affiliation_strings":["Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China","School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, PR China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I4210107815","display_name":"Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality","ror":"https://ror.org/02gwsx029","country_code":"CN","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I159948400","https://openalex.org/I200769079","https://openalex.org/I4210107815","https://openalex.org/I4210144285","https://openalex.org/I4391767947"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen, China","Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen, PR China"],"raw_orcid":"https://orcid.org/0000-0002-5063-3522","affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen, China","institution_ids":["https://openalex.org/I4210107815"]},{"raw_affiliation_string":"Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen, PR China","institution_ids":["https://openalex.org/I4210107815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7218,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66557182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"61696","last_page":"61707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.967199981212616,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.967199981212616,"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"}},{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9605000019073486,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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":0.6772036552429199},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5101225972175598},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4730968773365021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43978777527809143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772036552429199},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5101225972175598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4730968773365021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43978777527809143}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3556738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3556738","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:5ceba207c90d449fbe8ee4f5c4d9eace","is_oa":true,"landing_page_url":"https://doaj.org/article/5ceba207c90d449fbe8ee4f5c4d9eace","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 61696-61707 (2025)","raw_type":"article"},{"id":"pmh:oai:hub.hku.hk:10722/366950","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/366950","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3556738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3556738","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":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7549897355","display_name":null,"funder_award_id":"2022YFB3903700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1970015848","https://openalex.org/W1977428739","https://openalex.org/W1998943389","https://openalex.org/W2008683230","https://openalex.org/W2019400639","https://openalex.org/W2115878665","https://openalex.org/W2136169041","https://openalex.org/W2144672291","https://openalex.org/W2171943915","https://openalex.org/W2340897893","https://openalex.org/W2341849865","https://openalex.org/W2431874326","https://openalex.org/W2507296351","https://openalex.org/W2741074234","https://openalex.org/W2762186317","https://openalex.org/W2807328492","https://openalex.org/W2964309882","https://openalex.org/W3004865046","https://openalex.org/W3010539746","https://openalex.org/W3014641072","https://openalex.org/W3027028760","https://openalex.org/W3091076443","https://openalex.org/W3134534910","https://openalex.org/W3150557157","https://openalex.org/W3159372344","https://openalex.org/W3176828726","https://openalex.org/W3184120406","https://openalex.org/W3195494505","https://openalex.org/W3195869152","https://openalex.org/W3211685757","https://openalex.org/W4281782574","https://openalex.org/W4292830127","https://openalex.org/W4383682068","https://openalex.org/W4385245566","https://openalex.org/W4386065718","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4391109864","https://openalex.org/W4393160910","https://openalex.org/W4395690845","https://openalex.org/W4407358421","https://openalex.org/W4408634392","https://openalex.org/W6732599506","https://openalex.org/W6759579507","https://openalex.org/W6796581206","https://openalex.org/W6797399245","https://openalex.org/W6802744804","https://openalex.org/W6844108694","https://openalex.org/W6851928171","https://openalex.org/W6852249959","https://openalex.org/W6852445233","https://openalex.org/W6853587593","https://openalex.org/W6855838334","https://openalex.org/W6872035591"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Building":[0],"facade":[1],"segmentation":[2,66,126],"provides":[3],"critical":[4],"support":[5],"for":[6,104],"urban":[7,38,74,224],"information":[8,232],"management,":[9],"precise":[10,169],"3D":[11],"reconstruction,":[12],"and":[13,47,76,128,147,162,172,189,202,234],"energy":[14],"consumption":[15],"analysis.":[16],"Window,":[17],"as":[18],"a":[19,26,80,102],"pivotal":[20],"component":[21],"of":[22,82,154,157,160,166],"building":[23,96,193,219,231],"facades,":[24],"plays":[25],"central":[27],"role":[28],"in":[29,36,49,93,222,230],"these":[30,209],"applications.":[31,237],"However,":[32],"accurately":[33],"identifying":[34],"windows":[35],"diverse":[37,73,223],"environments":[39],"poses":[40],"significant":[41],"challenges":[42],"due":[43],"to":[44,216,228],"dataset":[45,89,240],"limitations":[46],"variability":[48],"model":[50,103],"performance.":[51],"This":[52,88],"study":[53],"presents":[54],"two":[55],"primary":[56],"contributions:":[57],"first,":[58],"we":[59,99,180],"develop":[60],"the":[61,109,119],"Street":[62],"View":[63],"BuildingWindow":[64],"(SVBW)":[65],"dataset,":[67],"comprising":[68],"1,172":[69],"images":[70,191],"that":[71,131],"represent":[72],"contexts":[75],"window":[77,86,105,170,194,220],"types,":[78],"with":[79,123,192],"total":[81],"50,321":[83],"meticulously":[84],"annotated":[85],"instances.":[87],"addresses":[90],"existing":[91],"gaps":[92],"segmenting":[94],"irregular":[95],"facades.":[97],"Second,":[98],"propose":[100],"BuildWin-SAM,":[101],"extraction":[106],"based":[107],"on":[108,118,183],"Segment":[110],"Anything":[111],"Model":[112],"(SAM)":[113],"architecture,":[114],"which":[115],"is":[116],"trained":[117],"SVBWdataset.":[120],"Comparative":[121],"analysis":[122],"CNN-based":[124],"semantic":[125],"models":[127],"SAM":[129],"demonstrates":[130],"BuildWin-SAM":[132,150,196],"achieves":[133,151,197],"improvements":[134],"across":[135,208],"key":[136],"evaluation":[137],"metrics,":[138],"including":[139],"Intersection":[140],"over":[141],"Union":[142],"(IoU),":[143],"F1":[144,164],"score,":[145],"precision,":[146],"recall.":[148],"Specifically,":[149],"an":[152,163],"IoU":[153],"80.70%,":[155],"precision":[156],"89.43%,":[158],"recall":[159],"89.20%,":[161],"score":[165],"88.52%,":[167],"demonstrating":[168],"localization":[171],"delineation":[173],"capabilities.":[174],"To":[175],"further":[176],"validate":[177],"its":[178],"robustness,":[179],"conduct":[181],"evaluations":[182],"three":[184],"public":[185],"datasets":[186],"featuring":[187],"multi-scale":[188],"multi-scene":[190],"annotations.":[195],"Recall":[198],"rates":[199,204],"exceeding":[200],"72%":[201],"Precision":[203],"mainly":[205],"above":[206],"87%":[207],"datasets.":[210],"These":[211],"results":[212],"demonstrate":[213],"BuildWin-SAM\u2019s":[214],"potential":[215],"significantly":[217],"enhance":[218],"recognition":[221],"environments,":[225],"ultimately":[226],"contributing":[227],"advancements":[229],"management":[233],"other":[235],"relevant":[236],"The":[238],"SVBW":[239],"will":[241],"be":[242],"provided":[243],"at":[244],"https://github.com/zhengnanle/svbw.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}