{"id":"https://openalex.org/W4306398687","doi":"https://doi.org/10.3390/rs14205153","title":"Detection of Glass Insulators Using Deep Neural Networks Based on Optical Imaging","display_name":"Detection of Glass Insulators Using Deep Neural Networks Based on Optical Imaging","publication_year":2022,"publication_date":"2022-10-15","ids":{"openalex":"https://openalex.org/W4306398687","doi":"https://doi.org/10.3390/rs14205153"},"language":"en","primary_location":{"id":"doi:10.3390/rs14205153","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205153","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5153/pdf?version=1666758364","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/2072-4292/14/20/5153/pdf?version=1666758364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100614565","display_name":"Jinyu Wang","orcid":"https://orcid.org/0000-0001-5593-9582"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Wang","raw_affiliation_strings":["Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China","institution_ids":[]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073532127","display_name":"Yingna Li","orcid":"https://orcid.org/0009-0000-6721-8459"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I4210131262","display_name":"Yunnan Provincial Science and Technology Department","ror":"https://ror.org/03whqdf70","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210131262"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingna Li","raw_affiliation_strings":["Computer Technology Application Key Lab of the Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"affiliations":[{"raw_affiliation_string":"Computer Technology Application Key Lab of the Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210131262"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687441","display_name":"Wen-Xiang Chen","orcid":"https://orcid.org/0000-0002-0560-8280"},"institutions":[{"id":"https://openalex.org/I4210131262","display_name":"Yunnan Provincial Science and Technology Department","ror":"https://ror.org/03whqdf70","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210131262"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiang Chen","raw_affiliation_strings":["Computer Technology Application Key Lab of the Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"affiliations":[{"raw_affiliation_string":"Computer Technology Application Key Lab of the Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210131262"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073532127"],"corresponding_institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210131262"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9397,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87590641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"20","first_page":"5153","last_page":"5153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/insulator","display_name":"Insulator (electricity)","score":0.7939701080322266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506614923477173},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.595029354095459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5419550538063049},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5125555992126465},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.4860006272792816},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.439043790102005},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.36087214946746826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34570062160491943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3318617641925812},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26327890157699585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2331467866897583},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11574354767799377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1031390130519867}],"concepts":[{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.7939701080322266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506614923477173},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.595029354095459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5419550538063049},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5125555992126465},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.4860006272792816},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.439043790102005},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.36087214946746826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34570062160491943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3318617641925812},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26327890157699585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2331467866897583},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11574354767799377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1031390130519867}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14205153","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205153","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5153/pdf?version=1666758364","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:8e37467271b04f60a538c5f74d4f110f","is_oa":true,"landing_page_url":"https://doaj.org/article/8e37467271b04f60a538c5f74d4f110f","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 20, p 5153 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/20/5153/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14205153","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 20; Pages: 5153","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14205153","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205153","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5153/pdf?version=1666758364","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":[],"awards":[{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G390023366","display_name":null,"funder_award_id":"51667011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5161085207","display_name":null,"funder_award_id":"61962031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310509","display_name":"Electric Power Research Institute","ror":"https://ror.org/02dqztz06"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306398687.pdf","grobid_xml":"https://content.openalex.org/works/W4306398687.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1978459068","https://openalex.org/W2006588449","https://openalex.org/W2057061313","https://openalex.org/W2145023731","https://openalex.org/W2193145675","https://openalex.org/W2243417253","https://openalex.org/W2470394683","https://openalex.org/W2539675563","https://openalex.org/W2550512190","https://openalex.org/W2565639579","https://openalex.org/W2595735962","https://openalex.org/W2618349427","https://openalex.org/W2743056029","https://openalex.org/W2807888105","https://openalex.org/W2883554987","https://openalex.org/W2897772777","https://openalex.org/W2898093003","https://openalex.org/W2902668251","https://openalex.org/W2912675002","https://openalex.org/W2915740610","https://openalex.org/W2951562201","https://openalex.org/W2963857746","https://openalex.org/W2998564052","https://openalex.org/W3005451572","https://openalex.org/W3016774250","https://openalex.org/W3106250896","https://openalex.org/W3120461207","https://openalex.org/W3136421595","https://openalex.org/W3155079234","https://openalex.org/W3173664002","https://openalex.org/W3181167241","https://openalex.org/W3193476445","https://openalex.org/W3201015453","https://openalex.org/W3210835506","https://openalex.org/W3211189031","https://openalex.org/W3214396588","https://openalex.org/W4205916854","https://openalex.org/W4210435088","https://openalex.org/W4213430755","https://openalex.org/W4213444297","https://openalex.org/W4224248328","https://openalex.org/W4229005974","https://openalex.org/W4280571727","https://openalex.org/W6776314492","https://openalex.org/W6798113468"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W2558559991","https://openalex.org/W1994279415","https://openalex.org/W1986338341","https://openalex.org/W2980082320","https://openalex.org/W2545065926","https://openalex.org/W2036421992","https://openalex.org/W2387510934","https://openalex.org/W2015446345","https://openalex.org/W3132644099"],"abstract_inverted_index":{"As":[0],"the":[1,20,27,63,79,87,94,108,114,119,126,145,157,163,171,174,184,213,229],"pre-part":[2],"of":[3,23,81,96,135,148,162,173],"tasks":[4],"such":[5],"as":[6],"fault":[7],"detection":[8,13,30,50,73,90,146,186,215,219,223,232],"and":[9,34,39,68,111,118,159,169,221],"line":[10],"inspection,":[11],"insulator":[12,29,49,115,164,185,194,204,214,231],"is":[14,32,37],"a":[15,56],"crucial":[16],"task.":[17,187],"However,":[18],"considering":[19],"complex":[21],"environment":[22],"high-voltage":[24],"transmission":[25],"lines,":[26],"traditional":[28,72],"accuracy":[31,69,147,220],"unsatisfactory,":[33],"manual":[35],"inspection":[36],"dangerous":[38],"inefficient.":[40],"To":[41],"improve":[42],"this":[43,45,84,104,190],"situation,":[44],"paper":[46,85,151,191],"proposes":[47],"an":[48,193],"model":[51,61,130,175,207],"Siamese":[52,112,128,141],"ID-YOLO":[53],"based":[54,106,198],"on":[55,107,156,199],"deep":[57],"neural":[58],"network.":[59],"The":[60,209],"achieves":[62,131],"best":[64],"balance":[65],"between":[66,140],"speed":[67],"compared":[70],"with":[71],"methods.":[74],"In":[75,103,188],"order":[76],"to":[77,92,98,178],"achieve":[78],"purpose":[80],"image":[82,117,121],"enhancement,":[83],"adopts":[86],"canny-based":[88],"edge":[89,120],"operator":[91],"highlight":[93],"edges":[95],"insulators":[97,136],"obtain":[99],"more":[100,132,181],"semantic":[101],"information.":[102],"paper,":[105],"Darknet53":[109],"network":[110],"network,":[113],"original":[116],"are":[122],"jointly":[123],"input":[124],"into":[125],"model.":[127],"IN-YOLO":[129],"fine-grained":[133],"extraction":[134],"through":[137],"weight":[138],"sharing":[139],"networks,":[142],"thereby":[143],"improving":[144],"insulators.":[149],"This":[150],"uses":[152],"statistical":[153],"clustering":[154],"analysis":[155],"area":[158],"aspect":[160],"ratio":[161],"data":[165],"set,":[166],"then":[167],"pre-set":[168],"adjusts":[170],"hyperparameters":[172],"anchor":[176],"box":[177],"make":[179],"it":[180],"suitable":[182],"for":[183,206],"addition,":[189],"makes":[192],"dataset":[195],"named":[196],"InsuDaSet":[197],"UAV(Unmanned":[200],"Aerial":[201],"Vehicle)":[202],"shoot":[203],"images":[205],"training.":[208],"experiments":[210],"show":[211],"that":[212],"can":[216,226],"reach":[217],"92.72%":[218],"84FPS":[222],"speed,":[224],"which":[225],"fully":[227],"meet":[228],"online":[230],"requirements.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2022-10-17T00:00:00"}
