{"id":"https://openalex.org/W2903387688","doi":"https://doi.org/10.1109/icpr.2018.8545190","title":"Dual-Resolution U-Net: Building Extraction from Aerial Images","display_name":"Dual-Resolution U-Net: Building Extraction from Aerial Images","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903387688","doi":"https://doi.org/10.1109/icpr.2018.8545190","mag":"2903387688"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5102868683","display_name":"Kangkang Lu","orcid":"https://orcid.org/0000-0002-1872-5494"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kangkang Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Univeristy of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Univeristy of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649794","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-7224-6726"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Satellite Dpeartment, Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Satellite Dpeartment, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103495329","display_name":"Sim\u2010Heng Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sim-Heng Ong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Univeristy of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Univeristy of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102868683"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.2012,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.77319732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.8547818660736084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764511108398438},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.7216413021087646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984090209007263},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5505778789520264},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5463503003120422},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.536989688873291},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4906546175479889},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48752209544181824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4849703311920166},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.467107892036438},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44004201889038086},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4353582561016083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41431140899658203},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1797703206539154},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09633925557136536}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8547818660736084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764511108398438},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.7216413021087646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984090209007263},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5505778789520264},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5463503003120422},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.536989688873291},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4906546175479889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48752209544181824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4849703311920166},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.467107892036438},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44004201889038086},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4353582561016083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41431140899658203},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1797703206539154},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09633925557136536},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1817277359","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W2022508996","https://openalex.org/W2037227137","https://openalex.org/W2155893237","https://openalex.org/W2301358467","https://openalex.org/W2308318555","https://openalex.org/W2551751523","https://openalex.org/W2560311620","https://openalex.org/W2565639579","https://openalex.org/W2591692311","https://openalex.org/W2609402060","https://openalex.org/W2620689612","https://openalex.org/W2623331213","https://openalex.org/W2780861787","https://openalex.org/W2950094539","https://openalex.org/W2962891704","https://openalex.org/W2963351448","https://openalex.org/W2964121744","https://openalex.org/W3102850314","https://openalex.org/W6631190155","https://openalex.org/W6638480814","https://openalex.org/W6640054144"],"related_works":["https://openalex.org/W2092934514","https://openalex.org/W2076075893","https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3118545013","https://openalex.org/W1516116847","https://openalex.org/W2412281349","https://openalex.org/W4212954839","https://openalex.org/W4241811109","https://openalex.org/W3169440385"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"applied":[4],"to":[5,45,60,80],"segment":[6],"buildings":[7],"from":[8,21,73],"high-resolution":[9],"images":[10,42,72],"with":[11],"promising":[12],"results.":[13],"However,":[14],"there":[15],"still":[16],"exist":[17],"the":[18,65,92],"problems":[19],"stemming":[20],"training":[22],"on":[23,64,91],"split":[24],"patches":[25],"and":[26,49,67],"class":[27],"imbalances.":[28],"To":[29],"overcome":[30],"these":[31],"problems,":[32],"we":[33,87],"propose":[34],"a":[35,56],"dual-resolution":[36],"U-Net":[37],"that":[38],"uses":[39],"pairs":[40],"of":[41],"as":[43],"inputs":[44],"capture":[46],"both":[47],"high":[48],"low":[50,68],"resolution":[51],"features.":[52],"We":[53],"also":[54],"employ":[55],"soft":[57],"Jaccard":[58],"loss":[59],"place":[61],"more":[62],"emphasis":[63],"sparse":[66],"accuracy":[69],"samples.":[70],"The":[71],"different":[74],"regions":[75],"are":[76],"further":[77],"balanced":[78],"according":[79],"their":[81],"building":[82],"densities.":[83],"With":[84],"our":[85],"architecture,":[86],"achieved":[88],"state-of-the-art":[89],"results":[90],"Inria":[93],"aerial":[94],"image":[95],"labeling":[96],"dataset":[97],"without":[98],"any":[99],"post-processing.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-06T06:45:51.903784","created_date":"2025-10-10T00:00:00"}