{"id":"https://openalex.org/W2345715650","doi":"https://doi.org/10.3390/rs8050383","title":"Fast and Accurate Plane Segmentation of Airborne LiDAR Point Cloud Using Cross-Line Elements","display_name":"Fast and Accurate Plane Segmentation of Airborne LiDAR Point Cloud Using Cross-Line Elements","publication_year":2016,"publication_date":"2016-05-05","ids":{"openalex":"https://openalex.org/W2345715650","doi":"https://doi.org/10.3390/rs8050383","mag":"2345715650"},"language":"en","primary_location":{"id":"doi:10.3390/rs8050383","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050383","pdf_url":null,"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://doi.org/10.3390/rs8050383","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113431199","display_name":"Teng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Wu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004788238","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3623-8304"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyun Hu","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060707296","display_name":"Lizhi Ye","orcid":"https://orcid.org/0009-0008-1883-3699"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Ye","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004788238"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.5688,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80415196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"5","first_page":"383","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/ransac","display_name":"RANSAC","score":0.8253527283668518},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7819184064865112},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7172856330871582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6634613275527954},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.544154942035675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034543871879578},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.47336718440055847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.446418821811676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4397912919521332},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4357547163963318},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30156928300857544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1832306981086731},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14943870902061462},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11658886075019836},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09737658500671387}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8253527283668518},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7819184064865112},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7172856330871582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634613275527954},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.544154942035675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034543871879578},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.47336718440055847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.446418821811676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4397912919521332},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4357547163963318},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30156928300857544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1832306981086731},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14943870902061462},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11658886075019836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09737658500671387}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs8050383","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050383","pdf_url":null,"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:527e2d1eb3724413bfdc5c06ecf45824","is_oa":true,"landing_page_url":"https://doaj.org/article/527e2d1eb3724413bfdc5c06ecf45824","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 8, Iss 5, p 383 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/5/383/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8050383","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8050383","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050383","pdf_url":null,"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":[{"id":"https://openalex.org/G8094516546","display_name":null,"funder_award_id":"2012CB719904","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W34676464","https://openalex.org/W52647950","https://openalex.org/W83360984","https://openalex.org/W1589770743","https://openalex.org/W1653887546","https://openalex.org/W1971410590","https://openalex.org/W1976379828","https://openalex.org/W1986427369","https://openalex.org/W1987449424","https://openalex.org/W1993846506","https://openalex.org/W2000165122","https://openalex.org/W2001303383","https://openalex.org/W2002899493","https://openalex.org/W2003396485","https://openalex.org/W2016068122","https://openalex.org/W2043940376","https://openalex.org/W2051956109","https://openalex.org/W2060223645","https://openalex.org/W2061421991","https://openalex.org/W2067191022","https://openalex.org/W2085261163","https://openalex.org/W2088805832","https://openalex.org/W2091297047","https://openalex.org/W2095905764","https://openalex.org/W2104525659","https://openalex.org/W2105035676","https://openalex.org/W2106903890","https://openalex.org/W2108569747","https://openalex.org/W2113317307","https://openalex.org/W2117094030","https://openalex.org/W2117186870","https://openalex.org/W2120128981","https://openalex.org/W2133014538","https://openalex.org/W2136216165","https://openalex.org/W2136651098","https://openalex.org/W2148432646","https://openalex.org/W2155632542","https://openalex.org/W2163451907","https://openalex.org/W2185813601","https://openalex.org/W2246692033","https://openalex.org/W2312400634","https://openalex.org/W2342334499","https://openalex.org/W2584787190","https://openalex.org/W2748995840","https://openalex.org/W3184458996","https://openalex.org/W6603406552","https://openalex.org/W6635088054","https://openalex.org/W6649706110","https://openalex.org/W6654346268","https://openalex.org/W6661142983","https://openalex.org/W6675814193","https://openalex.org/W6677209092","https://openalex.org/W6704429861","https://openalex.org/W6743285607"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W2115876589","https://openalex.org/W4293094720","https://openalex.org/W3171899115","https://openalex.org/W2739701376","https://openalex.org/W3126266918","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Plane":[0],"segmentation":[1,26,52,178],"is":[2,59,67,85,108,134],"an":[3],"important":[4],"step":[5],"in":[6,61,98],"feature":[7],"extraction":[8],"and":[9,15,22,47,106,116,154],"3D":[10,145],"modeling":[11],"from":[12],"light":[13],"detection":[14],"ranging":[16],"(LiDAR)":[17],"point":[18,39,65,84,117],"cloud.":[19],"The":[20,64,72,131,173,189],"accuracy":[21],"speed":[23,181],"of":[24,43,50,111,182],"plane":[25,51],"are":[27,74,119],"two":[28],"issues":[29],"difficult":[30],"to":[31,88,126],"balance,":[32],"particularly":[33],"when":[34],"dealing":[35],"with":[36,41,79,139],"a":[37,89,155,180],"massive":[38],"cloud":[40,66],"millions":[42],"points.":[44,188],"A":[45,101],"fast":[46],"easy-to-implement":[48],"algorithm":[49,133,165],"based":[53],"on":[54],"cross-line":[55,90],"element":[56,91],"growth":[57,115,118],"(CLEG)":[58],"proposed":[60,190],"this":[62,107],"study.":[63],"converted":[68],"into":[69,76],"grid":[70],"data.":[71],"points":[73,97],"segmented":[75,129],"line":[77],"segments":[78],"the":[80,96,99,109,112,123,128,163,170],"Douglas-Peucker":[81],"algorithm.":[82,113,159],"Each":[83],"then":[86],"assigned":[87],"(CLE)":[92],"obtained":[93],"by":[94,136],"segmenting":[95],"cross-directions.":[100],"CLE":[102,114,125],"determines":[103],"one":[104],"plane,":[105],"rationale":[110],"combined":[120],"after":[121],"selecting":[122],"seed":[124],"obtain":[127],"facets.":[130],"CLEG":[132,164],"validated":[135],"comparing":[137],"it":[138],"popular":[140],"methods,":[141],"such":[142],"as":[143],"RANSAC,":[144],"Hough":[146],"transformation,":[147],"principal":[148],"component":[149],"analysis":[150],"(PCA),":[151],"iterative":[152],"PCA,":[153],"state-of-the-art":[156],"global":[157],"optimization-based":[158],"Experiments":[160],"indicate":[161],"that":[162],"runs":[166],"much":[167],"faster":[168],"than":[169],"other":[171],"algorithms.":[172],"method":[174,191],"can":[175],"produce":[176],"accurate":[177],"at":[179],"6":[183],"s":[184],"per":[185],"3":[186],"million":[187],"also":[192],"exhibits":[193],"good":[194],"accuracy.":[195]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}