{"id":"https://openalex.org/W4303980768","doi":"https://doi.org/10.3390/rs14194905","title":"Power Pylon Reconstruction from Airborne LiDAR Data Based on Component Segmentation and Model Matching","display_name":"Power Pylon Reconstruction from Airborne LiDAR Data Based on Component Segmentation and Model Matching","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4303980768","doi":"https://doi.org/10.3390/rs14194905"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194905","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4905/pdf?version=1664550993","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/2072-4292/14/19/4905/pdf?version=1664550993","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009300306","display_name":"Yiya Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiya Qiao","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041596163","display_name":"Xiaohuan Xi","orcid":"https://orcid.org/0000-0001-6979-170X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohuan Xi","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085169152","display_name":"Sheng Nie","orcid":"https://orcid.org/0000-0002-5245-5619"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Nie","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383516","display_name":"Pu Wang","orcid":"https://orcid.org/0000-0002-4366-5796"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Wang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037921908","display_name":"Hao Guo","orcid":"https://orcid.org/0000-0001-9317-4015"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Guo","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041596163"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.779,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66666667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"19","first_page":"4905","last_page":"4905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T13715","display_name":"Power Line Inspection Robots","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9757000207901001,"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/pylon","display_name":"Pylon","score":0.8999727964401245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927560567855835},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.61301189661026},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.491863489151001},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4912042021751404},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.449984073638916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43184787034988403},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4221542477607727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42197349667549133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33809375762939453},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30820733308792114},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17037975788116455},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13452810049057007}],"concepts":[{"id":"https://openalex.org/C195295435","wikidata":"https://www.wikidata.org/wiki/Q331317","display_name":"Pylon","level":2,"score":0.8999727964401245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927560567855835},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.61301189661026},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.491863489151001},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4912042021751404},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.449984073638916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43184787034988403},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4221542477607727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42197349667549133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33809375762939453},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30820733308792114},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17037975788116455},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13452810049057007},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14194905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194905","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4905/pdf?version=1664550993","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:2b962d0804494e4cb26a4d4ad3392571","is_oa":true,"landing_page_url":"https://doaj.org/article/2b962d0804494e4cb26a4d4ad3392571","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 4905 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4905/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194905","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 19; Pages: 4905","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194905","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4905/pdf?version=1664550993","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/11","score":0.47999998927116394,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2888835418","display_name":null,"funder_award_id":"2019130","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G6204749032","display_name":null,"funder_award_id":"2019130","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8655527438","display_name":null,"funder_award_id":"2021YFF0704600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303980768.pdf","grobid_xml":"https://content.openalex.org/works/W4303980768.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1907835391","https://openalex.org/W1988530213","https://openalex.org/W2301086635","https://openalex.org/W2391311739","https://openalex.org/W2744185614","https://openalex.org/W2769901274","https://openalex.org/W2904001012","https://openalex.org/W2953708357","https://openalex.org/W2989839147","https://openalex.org/W3005398858","https://openalex.org/W3009284956","https://openalex.org/W3033600636","https://openalex.org/W6644242080"],"related_works":["https://openalex.org/W2386280390","https://openalex.org/W2549441153","https://openalex.org/W2036730139","https://openalex.org/W2392334960","https://openalex.org/W2378398067","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4282934273"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,23,197,234],"the":[4,39,45,47,92,99,106,112,116,129,134,146,153,165,176,179,184,191,195,198,205,209,215,221,227,238,266],"rapid":[5],"growth":[6],"of":[7,20,41,105,115,133,167,208,214,250,268,289],"State":[8],"Grid":[9],"digitization,":[10],"it":[11],"has":[12,53],"become":[13],"necessary":[14],"to":[15,28,124,144,226],"perform":[16],"three-dimensional":[17],"(3D)":[18],"reconstruction":[19,75,274],"power":[21,85,107,135,252,269],"elements":[22],"high":[24],"efficiency":[25],"and":[26,44,59,101,111,128,151,159,170,175,183,273,280,286],"precision":[27],"achieve":[29],"full":[30],"coverage":[31],"when":[32],"simulating":[33],"important":[34],"transmission":[35,290],"lines.":[36,291],"Limited":[37],"by":[38],"performance":[40],"acquisition":[42],"equipment":[43],"environment,":[46],"actual":[48],"scanned":[49],"point":[50,81,109,181,186],"cloud":[51,82,110,182,187],"usually":[52],"problems":[54],"such":[55],"as":[56,204],"noise":[57],"interference":[58],"data":[60],"loss,":[61],"presenting":[62],"a":[63,72],"great":[64],"challenge":[65],"for":[66,231,283],"3D":[67,74],"reconstruction.":[68],"This":[69],"study":[70,257],"proposes":[71],"model-driven":[73],"method":[76,217,279],"based":[77,90],"on":[78,91,162],"Airborne":[79],"LiDAR":[80],"data.":[83],"Firstly,":[84],"pylon":[86,108,147,154,169,172,253,270],"redirection":[87],"is":[88,142,188,202],"realized":[89],"Principal":[93],"Component":[94],"Analysis":[95],"(PCA)":[96],"algorithm.":[97],"Secondly,":[98],"vertical":[100],"horizontal":[102],"distribution":[103],"characteristics":[104,114],"graphical":[113,228],"overall":[117],"two-dimensional":[118],"(2D)":[119],"orthographic":[120],"projection":[121],"are":[122,157,173,275],"analyzed":[123],"determine":[125],"segmentation":[126,131,223,272],"positions":[127],"key":[130,222],"position":[132,224],"pylon.":[136,210],"The":[137,211,245,261],"2D":[138],"alpha":[139],"shape":[140],"algorithm":[141],"adopted":[143],"obtain":[145],"body":[148],"contour":[149],"points,":[150,164],"then":[152],"feature":[155,163],"points":[156],"extracted":[158],"corrected.":[160],"Based":[161],"components":[166,254],"original":[168,180],"model":[171,185,196,207,240,281],"registered,":[174],"distance":[177],"between":[178],"calculated":[189],"at":[190],"same":[192],"time.":[193],"Finally,":[194],"highest":[199],"matching":[200],"degree":[201],"regarded":[203],"reconstructed":[206],"main":[212],"advantages":[213],"proposed":[216],"include:":[218],"(1)":[219],"identifying":[220],"according":[225],"characteristics;":[229],"(2)":[230],"some":[232],"pylons":[233],"much":[235],"missing":[236],"data,":[237],"complete":[239],"can":[241],"be":[242],"accurately":[243],"reconstructed.":[244],"average":[246],"RMSE":[247],"(Root-Mean-Square":[248],"Error)":[249],"all":[251],"in":[255],"this":[256],"was":[258],"15.4":[259],"cm.":[260],"experimental":[262],"results":[263],"reveal":[264],"that":[265],"effects":[267],"structure":[271],"satisfactory,":[276],"which":[277],"provides":[278],"support":[282],"digital":[284],"management":[285],"security":[287],"analysis":[288]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
