{"id":"https://openalex.org/W4385400149","doi":"https://doi.org/10.3390/rs15153766","title":"Enhancing Building Segmentation in Remote Sensing Images: Advanced Multi-Scale Boundary Refinement with MBR-HRNet","display_name":"Enhancing Building Segmentation in Remote Sensing Images: Advanced Multi-Scale Boundary Refinement with MBR-HRNet","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385400149","doi":"https://doi.org/10.3390/rs15153766"},"language":"en","primary_location":{"id":"doi:10.3390/rs15153766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153766","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3766/pdf?version=1690786006","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/2072-4292/15/15/3766/pdf?version=1690786006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101836837","display_name":"Geding Yan","orcid":"https://orcid.org/0009-0002-5188-5315"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geding Yan","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067504419","display_name":"Haitao Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Jing","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101946485","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-1841-9144"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101228975","display_name":"Huanchao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanchao Guo","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076721719","display_name":"S. He","orcid":"https://orcid.org/0000-0002-2747-9264"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi He","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":"https://orcid.org/0000-0002-2747-9264","affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067504419"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.834,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86152392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"15","first_page":"3766","last_page":"3766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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":0.9889000058174133,"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":0.7757549285888672},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6904720664024353},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.58358234167099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824432373046875},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.5515156984329224},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5119867920875549},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5075029730796814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4748383164405823},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4525638222694397},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4380803108215332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3885020315647125},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33695828914642334},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11730536818504333},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1027010977268219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08471301198005676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757549285888672},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6904720664024353},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.58358234167099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824432373046875},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.5515156984329224},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5119867920875549},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5075029730796814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4748383164405823},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4525638222694397},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4380803108215332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3885020315647125},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33695828914642334},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11730536818504333},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1027010977268219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08471301198005676},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15153766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153766","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3766/pdf?version=1690786006","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:0466a0bdb7ae4289886bc678775834a4","is_oa":true,"landing_page_url":"https://doaj.org/article/0466a0bdb7ae4289886bc678775834a4","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":"Remote Sensing, Vol 15, Iss 15, p 3766 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/15/3766/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15153766","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; Volume 15; Issue 15; Pages: 3766","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15153766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153766","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3766/pdf?version=1690786006","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385400149.pdf"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1911811051","https://openalex.org/W1964167192","https://openalex.org/W1992782705","https://openalex.org/W2032729760","https://openalex.org/W2097117768","https://openalex.org/W2106587382","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2610884537","https://openalex.org/W2618530766","https://openalex.org/W2774320778","https://openalex.org/W2790741584","https://openalex.org/W2795635230","https://openalex.org/W2897936062","https://openalex.org/W2901869997","https://openalex.org/W2908320224","https://openalex.org/W2909555159","https://openalex.org/W2913323966","https://openalex.org/W2916798096","https://openalex.org/W2934268922","https://openalex.org/W2947688807","https://openalex.org/W2963446712","https://openalex.org/W2964309882","https://openalex.org/W2966450079","https://openalex.org/W2982206001","https://openalex.org/W2987361643","https://openalex.org/W2996322457","https://openalex.org/W3006230204","https://openalex.org/W3009564826","https://openalex.org/W3009942016","https://openalex.org/W3014641072","https://openalex.org/W3022397457","https://openalex.org/W3092958096","https://openalex.org/W3104035745","https://openalex.org/W3111269891","https://openalex.org/W3122259118","https://openalex.org/W3126435384","https://openalex.org/W3126858383","https://openalex.org/W3157124226","https://openalex.org/W3180799764","https://openalex.org/W3217745064","https://openalex.org/W4205457644","https://openalex.org/W4205713275","https://openalex.org/W4205974189","https://openalex.org/W4210736635","https://openalex.org/W4213172700","https://openalex.org/W4213266766","https://openalex.org/W4224055292","https://openalex.org/W4225134630","https://openalex.org/W4226323522","https://openalex.org/W4229441694","https://openalex.org/W4280568880","https://openalex.org/W4280626505","https://openalex.org/W4281396110","https://openalex.org/W4285298122","https://openalex.org/W4291913402","https://openalex.org/W4296829473","https://openalex.org/W4312984783","https://openalex.org/W4313546603","https://openalex.org/W4318825795","https://openalex.org/W4322743710","https://openalex.org/W4324368760","https://openalex.org/W4376851337","https://openalex.org/W6641152819","https://openalex.org/W6756987689","https://openalex.org/W6794492271","https://openalex.org/W6808294896","https://openalex.org/W6808691509","https://openalex.org/W6810137236","https://openalex.org/W6847734732"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2368534554","https://openalex.org/W2362101859","https://openalex.org/W2148469257","https://openalex.org/W2999244305","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Deep":[0],"learning":[1,129],"algorithms":[2],"offer":[3],"an":[4],"effective":[5],"solution":[6],"to":[7,38,75],"the":[8,27,39,55,91,112,121,135,147,150,172],"inefficiencies":[9],"and":[10,30,50,117,157,180],"poor":[11],"results":[12,177],"of":[13,32,41,114,143,149,178],"traditional":[14],"methods":[15,56],"for":[16,57,102],"building":[17,104,122,159],"a":[18,131],"footprint":[19],"extraction":[20,36,119],"from":[21,60],"high-resolution":[22,62],"remote":[23],"sensing":[24],"imagery.":[25],"However,":[26],"heterogeneous":[28],"shapes":[29],"sizes":[31],"buildings":[33,59,116],"render":[34],"local":[35],"vulnerable":[37],"influence":[40],"intricate":[42],"backgrounds":[43],"or":[44,82],"scenes,":[45],"culminating":[46],"in":[47,120],"intra-class":[48],"inconsistency":[49],"inaccurate":[51],"segmentation":[52,123,169],"outcomes.":[53],"Moreover,":[54],"extracting":[58],"very":[61],"(VHR)":[63],"images":[64],"at":[65],"present":[66],"often":[67],"lose":[68],"spatial":[69],"texture":[70],"information":[71,128,142],"during":[72],"down-sampling,":[73],"leading":[74],"problems,":[76,88],"such":[77],"as":[78],"blurry":[79],"image":[80],"boundaries":[81],"object":[83],"sticking.":[84],"To":[85],"solve":[86],"these":[87],"we":[89],"propose":[90],"multi-scale":[92,136],"boundary-refined":[93],"HRNet":[94],"(MBR-HRNet)":[95],"model,":[96],"which":[97],"preserves":[98],"detailed":[99],"boundary":[100,107,118],"features":[101],"accurate":[103],"segmentation.":[105],"The":[106],"refinement":[108],"module":[109,139],"(BRM)":[110],"enhances":[111],"accuracy":[113,148],"small":[115],"network":[124],"by":[125],"integrating":[126],"edge":[127],"into":[130],"separate":[132],"branch.":[133],"Additionally,":[134],"context":[137],"fusion":[138],"integrates":[140],"feature":[141],"different":[144],"scales,":[145],"enhancing":[146],"final":[151],"predicted":[152],"image.":[153],"Experiments":[154],"on":[155],"WHU":[156],"Massachusetts":[158],"datasets":[160],"have":[161],"shown":[162],"that":[163],"MBR-HRNet":[164],"outperforms":[165],"other":[166],"advanced":[167],"semantic":[168],"models,":[170],"achieving":[171],"highest":[173],"intersection":[174],"over":[175],"union":[176],"91.31%":[179],"70.97%,":[181],"respectively.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
