{"id":"https://openalex.org/W2544143277","doi":"https://doi.org/10.1109/dicta.2014.7008096","title":"Automatic Building Footprint Extraction and Regularisation from LIDAR Point Cloud Data","display_name":"Automatic Building Footprint Extraction and Regularisation from LIDAR Point Cloud Data","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2544143277","doi":"https://doi.org/10.1109/dicta.2014.7008096","mag":"2544143277"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2014.7008096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5002372576","display_name":"Mohammad Awrangjeb","orcid":"https://orcid.org/0000-0002-2711-4329"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohammad Awrangjeb","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Churchill Vic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Churchill Vic","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053408745","display_name":"Guojun Lu","orcid":"https://orcid.org/0000-0003-2523-7576"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guojun Lu","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Churchill Vic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Churchill Vic","institution_ids":["https://openalex.org/I149672521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002372576"],"corresponding_institution_ids":["https://openalex.org/I149672521"],"apc_list":null,"apc_paid":null,"fwci":0.4959,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71701785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","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":0.9958000183105469,"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/point-cloud","display_name":"Point cloud","score":0.7725100517272949},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.6309601068496704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241485476493835},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.577799916267395},{"id":"https://openalex.org/keywords/roof","display_name":"Roof","score":0.5418028235435486},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.538148045539856},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.49794554710388184},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.4958833158016205},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4686044454574585},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4414416253566742},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4324285089969635},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4290602207183838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42093685269355774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39889296889305115},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37827426195144653},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2681776285171509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2117835283279419}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7725100517272949},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.6309601068496704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241485476493835},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.577799916267395},{"id":"https://openalex.org/C2776748203","wikidata":"https://www.wikidata.org/wiki/Q83180","display_name":"Roof","level":2,"score":0.5418028235435486},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.538148045539856},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.49794554710388184},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.4958833158016205},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4686044454574585},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4414416253566742},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4324285089969635},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4290602207183838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42093685269355774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39889296889305115},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37827426195144653},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2681776285171509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2117835283279419},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/dicta.2014.7008096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:vital:7514","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/76514","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/99594","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/99594","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310515","display_name":"Department of Environment and Primary Industries","ror":"https://ror.org/03m3hse57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1981565399","https://openalex.org/W1981934656","https://openalex.org/W1989553449","https://openalex.org/W2038771072","https://openalex.org/W2054091530","https://openalex.org/W2063658793","https://openalex.org/W2064765926","https://openalex.org/W2073699178","https://openalex.org/W2104525659","https://openalex.org/W2110100167","https://openalex.org/W2115656279","https://openalex.org/W2117186870","https://openalex.org/W2130666164","https://openalex.org/W2134345313","https://openalex.org/W2150089019","https://openalex.org/W2340929031","https://openalex.org/W2905725872","https://openalex.org/W6703610452","https://openalex.org/W6757102671"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2330537534","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2368534554","https://openalex.org/W2562256921"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,22,77,103,136,191],"segmentation":[4],"of":[5,13,48,74],"LIDAR":[6],"point":[7],"cloud":[8],"data":[9,175],"for":[10],"automatic":[11],"extraction":[12,189],"building":[14,129,156,168,187],"footprint.":[15],"Using":[16],"the":[17,27,37,46,98,151,179],"ground":[18,38],"height":[19,62],"information":[20],"from":[21,36,45,71,145],"DEM":[23],"(Digital":[24],"Elevation":[25],"Model),":[26],"non-ground":[28,49,53],"points":[29,54,75,85,88],"(mainly":[30],"buildings":[31],"and":[32,63,89,117,141,148],"trees)":[33],"are":[34,43,55,69,81,101,113,123,132,143],"separated":[35],"points.":[39,50],"Points":[40],"on":[41,61,135,172],"walls":[42],"removed":[44],"set":[47],"The":[51,120],"remaining":[52],"then":[56,90,124],"divided":[57],"into":[58],"clusters":[59],"based":[60,134],"local":[64],"neighbourhood.":[65],"Planar":[66],"roof":[67],"segments":[68,100],"extracted":[70,144],"each":[72,146,154],"cluster":[73],"following":[76],"region-growing":[78],"technique.":[79,139],"Planes":[80],"initialised":[82],"using":[83,92,150],"coplanar":[84],"as":[86],"seed":[87],"grown":[91],"plane":[93],"compatibility":[94],"tests.":[95],"Once":[96],"all":[97],"planar":[99],"extracted,":[102],"rule-based":[104],"procedure":[105],"is":[106,158],"applied":[107],"to":[108,126,162],"remove":[109],"tree":[110],"planes":[111,122],"which":[112,131],"small":[114],"in":[115,186],"size":[116],"randomly":[118],"oriented.":[119],"neighbouring":[121,166],"merged":[125],"obtain":[127],"individual":[128],"boundaries,":[130],"regularised":[133],"new":[137],"feature-based":[138],"Corners":[140],"line-segments":[142],"boundary":[147],"adjusted":[149],"assumption":[152],"that":[153,178],"short":[155],"side":[157],"parallel":[159],"or":[160,164],"perpendicular":[161],"one":[163],"more":[165],"long":[167],"sides.":[169],"Experimental":[170],"results":[171],"five":[173],"Australian":[174],"sets":[176],"show":[177],"proposed":[180],"method":[181],"offers":[182],"higher":[183],"correctness":[184],"rate":[185],"footprint":[188],"than":[190],"state-of-the-art":[192],"method.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}
