{"id":"https://openalex.org/W4391030934","doi":"https://doi.org/10.3390/rs16020393","title":"A Deep-Learning-Based Method for Extracting an Arbitrary Number of Individual Power Lines from UAV-Mounted Laser Scanning Point Clouds","display_name":"A Deep-Learning-Based Method for Extracting an Arbitrary Number of Individual Power Lines from UAV-Mounted Laser Scanning Point Clouds","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4391030934","doi":"https://doi.org/10.3390/rs16020393"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020393","pdf_url":"https://www.mdpi.com/2072-4292/16/2/393/pdf?version=1705644658","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://www.mdpi.com/2072-4292/16/2/393/pdf?version=1705644658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052021034","display_name":"Sha Zhu","orcid":"https://orcid.org/0000-0001-6725-5145"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Zhu","raw_affiliation_strings":["State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045914211","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-1899-2808"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["State Grid Information & Telecommunication Group Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information & Telecommunication Group Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065816776","display_name":"Jianwei Zhao","orcid":"https://orcid.org/0000-0002-6683-7466"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Zhao","raw_affiliation_strings":["State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102813043","display_name":"Chunguang Zhang","orcid":"https://orcid.org/0000-0003-3253-8182"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguang Zhang","raw_affiliation_strings":["State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110929838","display_name":"Guang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Zhao","raw_affiliation_strings":["State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104141811","display_name":"Lu Li","orcid":"https://orcid.org/0009-0002-7743-6518"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Siji Location Based Service Co., Ltd., Beijing 102200, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080343454","display_name":"Zhenghua Chen","orcid":"https://orcid.org/0000-0002-1719-0328"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghua Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou 350116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou 350116, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China"],"raw_orcid":"https://orcid.org/0000-0003-1465-6599","affiliations":[{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5080343454"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.7987,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89913545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"2","first_page":"393","last_page":"393"},"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":0.9993000030517578,"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/T12364","display_name":"Archaeological Research and Protection","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"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":0.826120138168335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7754405736923218},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6773370504379272},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6361858248710632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536594390869141},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.500739336013794},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.43384820222854614},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35700297355651855},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34399139881134033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0875730812549591}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.826120138168335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754405736923218},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6773370504379272},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6361858248710632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536594390869141},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.500739336013794},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.43384820222854614},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35700297355651855},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34399139881134033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0875730812549591},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16020393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020393","pdf_url":"https://www.mdpi.com/2072-4292/16/2/393/pdf?version=1705644658","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:1593de3f21ce477aa7703450e5fb32ca","is_oa":true,"landing_page_url":"https://doaj.org/article/1593de3f21ce477aa7703450e5fb32ca","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 16, Iss 2, p 393 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16020393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020393","pdf_url":"https://www.mdpi.com/2072-4292/16/2/393/pdf?version=1705644658","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391030934.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W938823233","https://openalex.org/W1971022913","https://openalex.org/W1981049948","https://openalex.org/W1984527467","https://openalex.org/W1990068598","https://openalex.org/W1993614826","https://openalex.org/W1995865273","https://openalex.org/W2001014393","https://openalex.org/W2004287565","https://openalex.org/W2013294310","https://openalex.org/W2034403809","https://openalex.org/W2034406352","https://openalex.org/W2085261163","https://openalex.org/W2134361702","https://openalex.org/W2172184200","https://openalex.org/W2407977833","https://openalex.org/W2739764235","https://openalex.org/W2749895778","https://openalex.org/W2766435951","https://openalex.org/W2786324549","https://openalex.org/W2800846474","https://openalex.org/W2883400739","https://openalex.org/W2884060747","https://openalex.org/W2892686729","https://openalex.org/W2911818547","https://openalex.org/W2930717782","https://openalex.org/W2948202452","https://openalex.org/W2971382205","https://openalex.org/W3012494314","https://openalex.org/W3015550093","https://openalex.org/W3096831136","https://openalex.org/W3191381175","https://openalex.org/W4224248396","https://openalex.org/W4226154576","https://openalex.org/W4226435628","https://openalex.org/W6674569074","https://openalex.org/W6800201706","https://openalex.org/W6811139162","https://openalex.org/W6811233768"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W4287694812","https://openalex.org/W3128716822","https://openalex.org/W3046762217"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"laser":[3,125,249],"scanners":[4],"integrated":[5],"with":[6,247],"Unmanned":[7],"Aerial":[8],"Vehicles":[9],"(UAVs)":[10],"have":[11,31],"exhibited":[12],"great":[13],"potential":[14],"in":[15,20,69,101,135,152,278],"conducting":[16],"power":[17,28,42,52,71,89,117,191,212,228,276],"line":[18,29,43,53,72],"inspections":[19,30],"harsh":[21],"environments.":[22],"The":[23,234,251],"point":[24,39,120,133,154,279],"clouds":[25,121,134],"collected":[26,122],"for":[27,51,94,146],"numerous":[32],"advantages":[33],"over":[34],"remote":[35],"image":[36],"data.":[37],"However,":[38],"cloud-based":[40],"individual":[41,116,227,275],"extraction,":[44],"which":[45,91,241],"is":[46,92],"a":[47,106,168,196],"crucial":[48],"technology":[49],"required":[50],"inspections,":[54],"still":[55],"poses":[56],"several":[57],"challenges":[58],"such":[59],"as":[60],"massive":[61,131],"3D":[62,132],"points,":[63,66],"imbalanced":[64,158],"category":[65],"etc.":[67],"Moreover,":[68],"various":[70],"scenarios,":[73,138],"previous":[74],"studies":[75],"often":[76],"require":[77],"manual":[78],"setup":[79],"and":[80,148,258,260,263],"careful":[81],"adjustment":[82],"of":[83,115,178,186,190,274],"different":[84,88,162,211,245],"thresholds":[85],"to":[86,109,128,141,166,173,199,210,269],"separate":[87],"lines,":[90,192],"inefficient":[93],"practical":[95],"applications.":[96],"To":[97,156,181],"handle":[98,129],"these":[99],"challenges,":[100],"this":[102],"paper,":[103],"we":[104,139,164,193],"propose":[105,140,165,194],"multi-branch":[107],"network":[108,145],"automatically":[110],"extract":[111,270],"an":[112,187,271],"arbitrary":[113,188,272],"number":[114,189,273],"lines":[118,229,277],"from":[119],"by":[123,230],"UAV-based":[124],"scanners.":[126,250],"Specifically,":[127],"the":[130,175,183,201,207,215,220,226,261],"complex":[136],"outdoor":[137],"leverage":[142],"deep":[143],"neural":[144],"efficient":[147],"rapid":[149],"feature":[150],"extraction":[151,185],"large-scale":[153],"clouds.":[155,280],"mitigate":[157],"data":[159],"quantities":[160],"across":[161],"categories,":[163],"design":[167],"weighted":[169],"cross-entropy":[170],"loss":[171,197],"function":[172,198],"measure":[174],"varying":[176],"importance":[177],"each":[179],"category.":[180],"achieve":[182],"effective":[184],"leveraging":[195],"learn":[200],"discriminative":[202,216],"features":[203,217],"that":[204],"can":[205,224],"differentiate":[206],"points":[208],"belonging":[209],"lines.":[213],"Once":[214],"are":[218,236,242],"learned,":[219],"Mean":[221],"Shift":[222],"method":[223,253],"distinguish":[225],"clustering":[231],"without":[232],"supervision.":[233],"evaluations":[235],"executed":[237],"on":[238],"two":[239],"datasets,":[240],"acquired":[243],"at":[244],"locations":[246],"UAV-mounted":[248],"proposed":[252],"has":[254],"been":[255],"thoroughly":[256],"tested":[257],"evaluated,":[259],"results":[262],"discussions":[264],"confirm":[265],"its":[266],"outstanding":[267],"ability":[268]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}