{"id":"https://openalex.org/W2083024210","doi":"https://doi.org/10.1145/1463434.1463444","title":"Fast and extensible building modeling from airborne LiDAR data","display_name":"Fast and extensible building modeling from airborne LiDAR data","publication_year":2008,"publication_date":"2008-11-05","ids":{"openalex":"https://openalex.org/W2083024210","doi":"https://doi.org/10.1145/1463434.1463444","mag":"2083024210"},"language":"en","primary_location":{"id":"doi:10.1145/1463434.1463444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463434.1463444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002922019","display_name":"Qian-Yi Zhou","orcid":"https://orcid.org/0009-0001-6788-8134"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian-Yi Zhou","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082235583","display_name":"Ulrich Neumann","orcid":"https://orcid.org/0000-0001-8977-7112"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulrich Neumann","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.5042,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.99574106,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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":0.9968000054359436,"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/lidar","display_name":"Lidar","score":0.7624934911727905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371721863746643},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6894365549087524},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6318128108978271},{"id":"https://openalex.org/keywords/roof","display_name":"Roof","score":0.5751159191131592},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5211870074272156},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5017175674438477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47484973073005676},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45105400681495667},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4302251935005188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42711782455444336},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4126778542995453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39239731431007385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3770311772823334},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2962307929992676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12410202622413635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11501926183700562},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11104714870452881}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7624934911727905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371721863746643},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6894365549087524},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6318128108978271},{"id":"https://openalex.org/C2776748203","wikidata":"https://www.wikidata.org/wiki/Q83180","display_name":"Roof","level":2,"score":0.5751159191131592},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5211870074272156},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5017175674438477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47484973073005676},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45105400681495667},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4302251935005188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42711782455444336},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4126778542995453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39239731431007385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3770311772823334},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2962307929992676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12410202622413635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11501926183700562},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11104714870452881},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1463434.1463444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463434.1463444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1481254661","https://openalex.org/W1495548215","https://openalex.org/W1778234905","https://openalex.org/W1982435835","https://openalex.org/W1986427369","https://openalex.org/W2028541251","https://openalex.org/W2085261163","https://openalex.org/W2098154072","https://openalex.org/W2109960304","https://openalex.org/W2114892120","https://openalex.org/W2129265445","https://openalex.org/W2129725504","https://openalex.org/W2144311066","https://openalex.org/W2157270587"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4308259661","https://openalex.org/W4328132048","https://openalex.org/W2594043982","https://openalex.org/W3036493597"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"automatic":[4],"algorithm":[5,23,48,91,114,137],"which":[6,92],"reconstructs":[7],"building":[8,27],"models":[9],"from":[10],"airborne":[11],"LiDAR":[12],"(light":[13],"detection":[14,47],"and":[15,39,54,101,133],"ranging)":[16],"data":[17,145,149],"of":[18,77,98,112,123,135,146],"urban":[19,143],"areas.":[20],"While":[21],"our":[22,113,136],"inherits":[24],"the":[25,81,95,110,121,131],"typical":[26],"reconstruction":[28],"pipeline,":[29],"several":[30,147],"major":[31],"distinct":[32],"features":[33],"are":[34],"developed":[35],"to":[36,69],"enhance":[37],"efficiency":[38,132],"robustness:":[40],"1)":[41],"we":[42,87,108],"design":[43],"a":[44,62,89,125],"novel":[45],"vegetation":[46],"based":[49],"on":[50,80,142],"differential":[51],"geometry":[52],"properties":[53],"unbalanced":[55],"SVM;":[56],"2)":[57],"after":[58],"roof":[59,84,99],"patch":[60],"segmentation,":[61],"fast":[63],"boundary":[64,85],"extraction":[65],"method":[66],"is":[67],"introduced":[68],"produce":[70],"topology-correct":[71],"water":[72],"tight":[73],"boundaries;":[74],"3)":[75],"instead":[76],"making":[78],"assumptions":[79],"angles":[82],"between":[83],"lines,":[86],"propose":[88],"data-driven":[90],"automatically":[93],"learns":[94],"principal":[96],"directions":[97],"boundaries":[100],"uses":[102],"them":[103],"in":[104],"footprint":[105],"production.":[106],"Furthermore,":[107],"show":[109],"extendability":[111],"by":[115,138],"supporting":[116],"non-flat":[117],"object":[118],"patterns":[119],"with":[120],"help":[122],"only":[124],"few":[126],"user":[127],"interactions.":[128],"We":[129],"demonstrate":[130],"accuracy":[134],"showing":[139],"experiment":[140],"results":[141],"area":[144],"different":[148],"sets.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}