{"id":"https://openalex.org/W3160028740","doi":"https://doi.org/10.1109/tgrs.2021.3076107","title":"A GCN-Based Method for Extracting Power Lines and Pylons From Airborne LiDAR Data","display_name":"A GCN-Based Method for Extracting Power Lines and Pylons From Airborne LiDAR Data","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160028740","doi":"https://doi.org/10.1109/tgrs.2021.3076107","mag":"3160028740"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3076107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3076107","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5084025577","display_name":"Wen Li","orcid":"https://orcid.org/0000-0002-4499-9587"},"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":"Wen Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-4499-9587","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031606307","display_name":"Zhipeng Luo","orcid":"https://orcid.org/0000-0001-9994-9678"},"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":"Zhipeng Luo","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-9994-9678","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071318199","display_name":"Zhenlong Xiao","orcid":"https://orcid.org/0000-0003-2124-8315"},"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":"Zhenlong Xiao","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-2124-8315","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, 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 Cities, School of Informatics, 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 Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"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 Cities, 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 Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"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"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Department of Geography and Environmental Management and the Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7899-0049","affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management and the Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6553,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.89331091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"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":0.9972000122070312,"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":0.9789999723434448,"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/remote-sensing","display_name":"Remote sensing","score":0.7833375334739685},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7827544212341309},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45389673113822937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3756677806377411},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.33820241689682007},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23279762268066406},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12409332394599915}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7833375334739685},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7827544212341309},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45389673113822937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3756677806377411},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.33820241689682007},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23279762268066406},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12409332394599915}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3076107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3076107","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"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"},{"id":"https://openalex.org/G1771199597","display_name":null,"funder_award_id":"61801410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2741468519","display_name":null,"funder_award_id":"50503-10284","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G4803012117","display_name":null,"funder_award_id":"2019J01004","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1689909837","https://openalex.org/W1977731274","https://openalex.org/W1999260680","https://openalex.org/W2001014393","https://openalex.org/W2072559998","https://openalex.org/W2078025235","https://openalex.org/W2134361702","https://openalex.org/W2156067790","https://openalex.org/W2194775991","https://openalex.org/W2228604022","https://openalex.org/W2278868814","https://openalex.org/W2334845011","https://openalex.org/W2407977833","https://openalex.org/W2436494909","https://openalex.org/W2460657278","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2739764235","https://openalex.org/W2765506031","https://openalex.org/W2766889907","https://openalex.org/W2779850592","https://openalex.org/W2783876128","https://openalex.org/W2804451008","https://openalex.org/W2884060747","https://openalex.org/W2886912026","https://openalex.org/W2887869984","https://openalex.org/W2892686729","https://openalex.org/W2911818547","https://openalex.org/W2914608630","https://openalex.org/W2919115771","https://openalex.org/W2944981417","https://openalex.org/W2963231572","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963706542","https://openalex.org/W2963727135","https://openalex.org/W2967073193","https://openalex.org/W2969300214","https://openalex.org/W2976659839","https://openalex.org/W2987303464","https://openalex.org/W2991216808","https://openalex.org/W3000937247","https://openalex.org/W3015550093","https://openalex.org/W3039448353","https://openalex.org/W3098740429","https://openalex.org/W3104282073","https://openalex.org/W6603383834","https://openalex.org/W6698114291","https://openalex.org/W6739778489"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"Extracting":[0],"the":[1,19,25,38,48,53,96,104,115,127,134,148,166,185,212,216,224,235,243,246],"power":[2,21,76,116,182,186,202,236,257],"lines":[3,77,117],"and":[4,7,52,78,88,100,118,133,168,232,240,242,250],"pylons":[5,79],"automatically":[6],"accurately":[8],"from":[9,40,80],"airborne":[10],"LiDAR":[11,82,105],"data":[12,86],"is":[13,50,111,161,177,188,260],"a":[14,68,108,172,191],"critical":[15],"step":[16],"in":[17,24,32,103,206],"inspecting":[18],"routine":[20],"line,":[22],"especially":[23],"remote":[26,44],"mountainous":[27,45,207],"areas.":[28,208],"However,":[29],"challenges":[30],"arise":[31],"using":[33,190],"existing":[34,221],"methods":[35,91],"to":[36,57,62,74,94,113,146,151,163,179],"extract":[37,75,114],"targets":[39],"large":[41],"scenarios":[42,204],"of":[43,98,122,215,234,245,256],"areas":[46],"since":[47],"terrain":[49],"undulating,":[51],"features":[54],"are":[55,92,144,196,238,248],"difficult":[56],"distinguish.":[58],"In":[59],"this":[60],"article,":[61],"overcome":[63,95],"these":[64],"challenges,":[65],"we":[66],"propose":[67],"graph":[69],"convolutional":[70],"network":[71],"(GCN)-based":[72],"method":[73,218],"Airborne":[81],"point":[83],"clouds.":[84],"First,":[85],"augmentation":[87],"near-ground":[89],"filtering":[90],"developed":[93],"problems":[97],"insufficient":[99],"imbalanced":[101],"samples":[102],"data.":[106],"Then,":[107],"GCN-based":[109],"framework":[110],"proposed":[112,178,217],"pylons,":[119],"which":[120],"consist":[121],"two":[123,142,200],"main":[124],"modules,":[125],"i.e.,":[126],"neighborhood":[128,135],"dimension":[129],"information":[130,137],"(NDI)":[131],"module":[132,160],"geometry":[136],"aggregation":[138],"(NGIA)":[139],"module.":[140],"These":[141],"modules":[143],"designed":[145],"strengthen":[147],"model\u2019s":[149],"ability":[150],"portray":[152],"local":[153],"geometric":[154],"details.":[155],"Besides,":[156],"an":[157],"attention":[158],"fusion":[159],"investigated":[162],"further":[164],"improve":[165],"NDI":[167],"NGIA":[169],"features.":[170],"Finally,":[171],"line":[173,203,237,258],"structure":[174],"constraint":[175],"algorithm":[176],"identify":[180],"individual":[181],"lines,":[183],"where":[184,223],"corridor":[187],"reconstructed":[189],"polynomial-based":[192],"algorithm.":[193],"Numerical":[194],"experiments":[195],"conducted":[197],"based":[198],"on":[199],"different":[201],"acquired":[205],"The":[209,253],"results":[210,244],"demonstrate":[211],"superior":[213],"performances":[214],"over":[219],"several":[220],"algorithms,":[222],"<inline-formula":[225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[227],"<tex-math":[228],"notation=\"LaTeX\">$F_{1}$":[229],"</tex-math></inline-formula>":[230],"score":[231],"quality":[233],"99.3%":[239],"98.6%,":[241],"pylon":[247],"96%":[249],"92.4%,":[251],"respectively.":[252],"identification":[254,259],"rate":[255],"above":[261],"98%.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
