{"id":"https://openalex.org/W2546513376","doi":"https://doi.org/10.1109/igarss.2016.7729375","title":"Streetlamp extraction and identification from mobile LiDAR point cloud scenes","display_name":"Streetlamp extraction and identification from mobile LiDAR point cloud scenes","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546513376","doi":"https://doi.org/10.1109/igarss.2016.7729375","mag":"2546513376"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5018769100","display_name":"Xitong Zhang","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":"Xitong Zhang","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103048429","display_name":"Huiyun Liu","orcid":"https://orcid.org/0000-0003-2898-8885"},"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":"Huiyun Liu","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004016003","display_name":"Yongqiang Li","orcid":"https://orcid.org/0000-0002-1549-3560"},"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":"Yongqiang Li","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101833320","display_name":"Zhenzhen Wu","orcid":"https://orcid.org/0000-0001-9501-7582"},"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":"Zhenzhen Wu","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110531283","display_name":"Jie Mao","orcid":"https://orcid.org/0000-0002-6171-5734"},"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":"Jie Mao","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393297","display_name":"Yangyang Liu","orcid":"https://orcid.org/0000-0001-5118-4901"},"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":"Yangyang Liu","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1468","last_page":"1471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976999759674072,"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":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.995199978351593,"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/point-cloud","display_name":"Point cloud","score":0.8490740656852722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7767008543014526},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7005537748336792},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6752614378929138},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6382396221160889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087591648101807},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.577756404876709},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5493438243865967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5467277765274048},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5337169170379639},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.5322411060333252},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47939038276672363},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4722011983394623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4566537141799927},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4292669892311096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4182283580303192},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40241003036499023},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32452821731567383},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15327534079551697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12768509984016418},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09761965274810791}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8490740656852722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767008543014526},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7005537748336792},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6752614378929138},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6382396221160889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087591648101807},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.577756404876709},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5493438243865967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5467277765274048},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5337169170379639},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.5322411060333252},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47939038276672363},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4722011983394623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4566537141799927},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4292669892311096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4182283580303192},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40241003036499023},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32452821731567383},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15327534079551697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12768509984016418},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09761965274810791},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1999260680","https://openalex.org/W2039186139","https://openalex.org/W2052794186","https://openalex.org/W2091546400","https://openalex.org/W2148254631","https://openalex.org/W2289333783","https://openalex.org/W2366774183","https://openalex.org/W2374447156","https://openalex.org/W2376887083","https://openalex.org/W2561217093","https://openalex.org/W4385160498","https://openalex.org/W7006680910"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,34,41,47,53,66,78,91,113,116],"problem":[3],"of":[4,36,43,68],"streetlamp":[5,21,48,55,69,73,79,97,106,118],"extraction":[6,82,119],"and":[7,51,61,71,81,120],"category":[8,107],"identification":[9],"from":[10],"mobile":[11],"LiDAR":[12],"data":[13],"in":[14,110],"urban":[15],"scenes,":[16],"an":[17],"algorithm":[18,92],"based":[19,27],"on":[20,28],"sample":[22,49,85],"has":[23],"been":[24],"raised.":[25],"Firstly,":[26],"morphological":[29],"closing":[30],"operation":[31],"to":[32,64,104],"extract":[33,52,96],"location":[35],"suspected":[37,44,54,72],"streetlamps;":[38],"secondly,":[39],"determine":[40],"scope":[42],"streetlamps":[45],"by":[46,83],"parameters":[50],"point":[56,74,98],"cloud;":[57,75],"thirdly,":[58],"through":[59],"pole":[60],"head":[62],"matching":[63],"realize":[65,77],"alignment":[67],"samples":[70],"finally,":[76],"judgment":[80],"establishing":[84],"buffer.":[86],"Experimental":[87],"results":[88],"show":[89],"that":[90],"cannot":[93],"only":[94],"automatically":[95],"cloud,":[99],"but":[100],"also":[101],"be":[102],"able":[103],"identify":[105],"which":[108],"is":[109],"accordance":[111],"with":[112],"sample,":[114],"achieving":[115],"rapid":[117],"recognition.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}