{"id":"https://openalex.org/W3110623811","doi":"https://doi.org/10.1109/lgrs.2020.3037484","title":"A Supervoxel Approach to Road Boundary Enhancement From 3-D LiDAR Point Clouds","display_name":"A Supervoxel Approach to Road Boundary Enhancement From 3-D LiDAR Point Clouds","publication_year":2020,"publication_date":"2020-11-24","ids":{"openalex":"https://openalex.org/W3110623811","doi":"https://doi.org/10.1109/lgrs.2020.3037484","mag":"3110623811"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3037484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3037484","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5042354679","display_name":"Zhengchuan Sha","orcid":"https://orcid.org/0000-0003-4817-7406"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchuan Sha","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-4817-7406","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-1465-6599","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078585665","display_name":"Yangbin Lin","orcid":"https://orcid.org/0000-0003-3407-4756"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangbin Lin","raw_affiliation_strings":["Faculty of Computer Engineering College, Jimei University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3407-4756","affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6075-796X","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071340024","display_name":"Jos\u00e9 Marcato","orcid":"https://orcid.org/0000-0002-9096-6866"},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Marcato","raw_affiliation_strings":["Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, Campo Grande, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9096-6866","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, Campo Grande, Brazil","institution_ids":["https://openalex.org/I122558511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada","School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-7899-0049","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3899,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59884843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8110107183456421},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6298173069953918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944756269454956},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5798774361610413},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.49439287185668945},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.49355852603912354},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47256937623023987},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4198625683784485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3676648736000061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3128206431865692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25694942474365234},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.20175158977508545},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19901883602142334},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12242129445075989},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10524564981460571}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8110107183456421},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6298173069953918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944756269454956},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5798774361610413},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.49439287185668945},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.49355852603912354},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47256937623023987},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4198625683784485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3676648736000061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3128206431865692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25694942474365234},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.20175158977508545},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19901883602142334},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12242129445075989},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10524564981460571},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3037484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3037484","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G1552547945","display_name":"\u57fa\u4e8e\u4e09\u7ef4\u70b9\u4e91\u7684\u9ad8\u6e05\u5730\u56fe\u5feb\u901f\u8bed\u4e49\u6807\u6ce8\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41871380","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":16,"referenced_works":["https://openalex.org/W1970531977","https://openalex.org/W2027710719","https://openalex.org/W2058849570","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2135249503","https://openalex.org/W2304771603","https://openalex.org/W2344371161","https://openalex.org/W2620773907","https://openalex.org/W2621534427","https://openalex.org/W2766959699","https://openalex.org/W2804872164","https://openalex.org/W2955873422","https://openalex.org/W2963706542","https://openalex.org/W2982940677","https://openalex.org/W3014147895"],"related_works":["https://openalex.org/W4226195147","https://openalex.org/W4310264062","https://openalex.org/W2976989770","https://openalex.org/W4312828305","https://openalex.org/W2954561862","https://openalex.org/W3214186465","https://openalex.org/W4313048795","https://openalex.org/W1974642237","https://openalex.org/W3034685389","https://openalex.org/W3015465855"],"abstract_inverted_index":{"Rapid":[0],"and":[1,93,142,145,158,172,178],"accurate":[2],"enhancement":[3],"of":[4,31],"road":[5,21,54],"boundaries":[6,36,55],"from":[7,56],"terrestrial":[8],"laser":[9],"scanning":[10],"(TLS)":[11],"3-D":[12,57],"point":[13,58,101,139],"clouds":[14,102,140],"has":[15],"been":[16],"a":[17,29,46],"challenging":[18],"task":[19],"in":[20,121,168],"infrastructure":[22],"inventory.":[23],"To":[24,125],"address":[25],"the":[26,38,75,87,113,122,127,132,169],"challenge":[27],"with":[28,83,118],"lack":[30],"ability":[32],"to":[33,73,99,111],"enhance":[34],"object":[35],"when":[37],"supervoxel":[39,48,114],"number":[40],"is":[41,116,176],"less,":[42],"this":[43],"letter":[44],"proposes":[45],"novel":[47],"segmentation":[49],"algorithm":[50,92],"framework":[51],"for":[52],"enhancing":[53],"clouds.":[59],"First,":[60],"we":[61,130],"utilize":[62],"radius":[63],"<inline-formula":[64],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[66],"<tex-math":[67],"notation=\"LaTeX\">$k$":[68],"</tex-math></inline-formula>":[69],"nearest-neighbor":[70],"search":[71],"method":[72,110,134],"obtain":[74],"neighborhood":[76],"information":[77,120],"after":[78],"partitioning":[79],"points":[80],"on":[81,104,135],"octrees":[82],"seed":[84,105],"points.":[85,106],"Second,":[86],"iterative":[88],"weighted":[89],"least":[90],"square":[91],"spatial":[94],"structure":[95],"judgment":[96],"are":[97],"used":[98],"segment":[100],"based":[103],"Finally,":[107],"an":[108],"update":[109],"adjust":[112],"centroids":[115],"applied":[117],"surrounding":[119],"first":[123],"part.":[124],"verify":[126],"excellent":[128],"performance,":[129],"tested":[131],"proposed":[133],"two":[136,164],"publicly":[137],"large-scale":[138],"benchmarks\u2014IQmulus":[141],"TerraMobilita":[143],"(IQTM)":[144],"Semantic":[146],"3-D.":[147],"The":[148],"experimental":[149],"results":[150],"demonstrate":[151],"that":[152],"our":[153,173],"approach":[154],"achieved":[155],"approximately":[156],"48.98%":[157],"68.41%":[159],"boundary":[160],"recall":[161],"higher":[162],"than":[163],"existing":[165],"classical":[166],"methods":[167],"street":[170],"scene,":[171],"running":[174],"time":[175],"feasible":[177],"effective.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}