{"id":"https://openalex.org/W4294310837","doi":"https://doi.org/10.1109/tim.2022.3203460","title":"A Multitemporal Point Cloud Registration Method for Evaluation of Power Equipment Geometric Shape","display_name":"A Multitemporal Point Cloud Registration Method for Evaluation of Power Equipment Geometric Shape","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294310837","doi":"https://doi.org/10.1109/tim.2022.3203460"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3203460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3203460","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5008910536","display_name":"Xiaojun Shen","orcid":"https://orcid.org/0000-0002-5971-1259"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Shen","raw_affiliation_strings":["Department of Electrical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5971-1259","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067530442","display_name":"Zelin Xu","orcid":"https://orcid.org/0000-0002-4737-1488"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zelin Xu","raw_affiliation_strings":["Department of Electrical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4737-1488","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008910536"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":3.3277,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92348261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955999851226807,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9932000041007996,"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":0.886955976486206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751620769500732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563651919364929},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5495412349700928},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5330803394317627},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5045329332351685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4968614876270294},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.42125141620635986},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41656672954559326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09947335720062256}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.886955976486206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751620769500732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563651919364929},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5495412349700928},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5330803394317627},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5045329332351685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4968614876270294},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.42125141620635986},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41656672954559326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09947335720062256},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3203460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3203460","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2049981393","https://openalex.org/W2063549868","https://openalex.org/W2160821342","https://openalex.org/W2906269885","https://openalex.org/W2921752890","https://openalex.org/W2946305700","https://openalex.org/W2963264709","https://openalex.org/W2989717189","https://openalex.org/W3000108701","https://openalex.org/W3004808484","https://openalex.org/W3007240855","https://openalex.org/W3023332164","https://openalex.org/W3042567147","https://openalex.org/W3083948783","https://openalex.org/W3090238656","https://openalex.org/W3096782096","https://openalex.org/W3134164546","https://openalex.org/W3135143201","https://openalex.org/W3145995272","https://openalex.org/W3149464097","https://openalex.org/W3153996324","https://openalex.org/W3163620122","https://openalex.org/W3166855724","https://openalex.org/W3172521299","https://openalex.org/W3196387265","https://openalex.org/W3197367581","https://openalex.org/W3198176467","https://openalex.org/W3202364725","https://openalex.org/W4205235729","https://openalex.org/W4205720035","https://openalex.org/W4214664134","https://openalex.org/W4226346514","https://openalex.org/W4284884714","https://openalex.org/W4285498547"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"The":[0,150,179],"4-D":[1,62],"evaluation":[2,39,63,191],"based":[3,97,114],"on":[4,27,98,115],"light":[5],"detection":[6],"and":[7,31,46,85,122,143,167,177],"ranging":[8],"(LiDAR)":[9],"point":[10,71,93,112,125,162,170],"cloud":[11,72,94,113,126,163,171],"data":[12],"of":[13,24,35,40,54,64,80,145,188],"power":[14,55,65,130,194],"equipment":[15,25,66,131],"geometric":[16,37,67,189],"shape":[17,38,190],"can":[18],"accurately":[19],"describe":[20],"the":[21,28,33,51,69,78,91,99,107,123,141,146,155,168,186],"evolution":[22],"process":[23],"deformation":[26],"space\u2013time":[29],"scales":[30],"meet":[32],"needs":[34,75],"refined":[36],"equipment.":[41,56,195],"It":[42],"is":[43],"a":[44,183],"new":[45],"increasingly":[47],"important":[48],"technology":[49,60,192],"for":[50,61,111,129,185,193],"condition":[52],"assessment":[53],"As":[57],"one":[58],"key":[59],"shape,":[68],"multitemporal":[70,92,124,169],"registration":[73,95,127,148,172],"method":[74,128,173],"to":[76,139],"satisfy":[77],"requirements":[79],"high":[81,83],"precision,":[82],"universality,":[84],"intellectualization.":[86],"In":[87],"this":[88],"article,":[89],"first,":[90],"strategy":[96],"local":[100],"invariant":[101],"feature":[102,164],"(LIF)":[103],"was":[104,120,132],"established.":[105],"Second,":[106],"LIF":[108,157],"extraction":[109,158],"algorithm":[110,159],"convolutional":[116],"neural":[117],"networks":[118],"(CNNs)":[119],"proposed,":[121],"structured.":[133],"Finally,":[134],"experiments":[135],"were":[136],"carried":[137],"out":[138],"verify":[140],"feasibility":[142],"performance":[144],"proposed":[147,156],"method.":[149],"experimental":[151],"results":[152],"indicated":[153],"that":[154],"had":[160,174],"excellent":[161],"description":[165],"ability,":[166],"great":[175],"universality":[176],"robustness.":[178],"research":[180],"could":[181],"provide":[182],"reference":[184],"development":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}