{"id":"https://openalex.org/W2967103430","doi":"https://doi.org/10.3390/s19163517","title":"An Assembled Detector Based on Geometrical Constraint for Power Component Recognition","display_name":"An Assembled Detector Based on Geometrical Constraint for Power Component Recognition","publication_year":2019,"publication_date":"2019-08-11","ids":{"openalex":"https://openalex.org/W2967103430","doi":"https://doi.org/10.3390/s19163517","mag":"2967103430","pmid":"https://pubmed.ncbi.nlm.nih.gov/31405244"},"language":"en","primary_location":{"id":"doi:10.3390/s19163517","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163517","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3517/pdf?version=1565942508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/16/3517/pdf?version=1565942508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101897904","display_name":"Zheng Ji","orcid":"https://orcid.org/0000-0002-1419-5326"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Ji","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998122","display_name":"Yifan Liao","orcid":"https://orcid.org/0000-0002-0493-771X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Liao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600006","display_name":"Li Zheng","orcid":"https://orcid.org/0000-0002-6100-2443"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zheng","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-6100-2443","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077633483","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-1304-6353"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073577524","display_name":"Manzhu Yu","orcid":"https://orcid.org/0000-0001-6769-7517"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manzhu Yu","raw_affiliation_strings":["Department of Geography, Pennsylvania State University, State College, PA 16801, USA"],"raw_orcid":"https://orcid.org/0000-0001-6769-7517","affiliations":[{"raw_affiliation_string":"Department of Geography, Pennsylvania State University, State College, PA 16801, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026390197","display_name":"Yanjie Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120706","display_name":"Urban Planning & Design Institute of Shenzhen (China)","ror":"https://ror.org/01yp7yc97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120706"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Feng","raw_affiliation_strings":["Shenzhen Power Supply Planning Design Institute Co., Ltd., Shenzhen 518054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Power Supply Planning Design Institute Co., Ltd., Shenzhen 518054, China","institution_ids":["https://openalex.org/I4210120706"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100600006"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.5754,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64940577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"16","first_page":"3517","last_page":"3517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9987999796867371,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11019","display_name":"Image Enhancement Techniques","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.6439021825790405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180337071418762},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6086917519569397},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5782811641693115},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5253421664237976},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5235121846199036},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5155355930328369},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.500673770904541},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.45340555906295776},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4466514587402344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3958115577697754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2649782598018646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439021825790405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180337071418762},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6086917519569397},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5782811641693115},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5253421664237976},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5235121846199036},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5155355930328369},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.500673770904541},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45340555906295776},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4466514587402344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3958115577697754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2649782598018646},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19163517","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163517","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3517/pdf?version=1565942508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:31405244","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31405244","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:34fcb70ec74943c48df244a160cbc256","is_oa":true,"landing_page_url":"https://doaj.org/article/34fcb70ec74943c48df244a160cbc256","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":"Sensors, Vol 19, Iss 16, p 3517 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/16/3517/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19163517","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6719115","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6719115","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19163517","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163517","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3517/pdf?version=1565942508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.41999998688697815,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3593192037","display_name":null,"funder_award_id":"2018YFB0505003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967103430.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W2010625607","https://openalex.org/W2073246097","https://openalex.org/W2102605133","https://openalex.org/W2119866123","https://openalex.org/W2153062878","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2165080754","https://openalex.org/W2168356304","https://openalex.org/W2222435693","https://openalex.org/W2222845742","https://openalex.org/W2305666041","https://openalex.org/W2366932088","https://openalex.org/W2377585712","https://openalex.org/W2613718673","https://openalex.org/W2951548327","https://openalex.org/W3099873379","https://openalex.org/W6683411478","https://openalex.org/W6698114291"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2366906938","https://openalex.org/W2357256365","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725"],"abstract_inverted_index":{"The":[0,93,154],"intelligent":[1],"inspection":[2,26],"of":[3,19,39,49,120,137],"power":[4,43,147],"lines":[5],"and":[6,10,31,45,57,85,102,110,127,140,170,187],"other":[7,184,188],"difficult-to-access":[8],"structures":[9],"facilities":[11,186],"has":[12],"been":[13],"greatly":[14],"enhanced":[15],"by":[16,151,157],"the":[17,37,46,62,72,90,100,103,118,135,146,152,158,167],"use":[18],"Unmanned":[20],"Aerial":[21],"Vehicles":[22],"(UAVs),":[23],"which":[24,116],"allow":[25],"in":[27],"a":[28,40,58,69,172],"safe,":[29],"efficient,":[30],"high-quality":[32],"fashion.":[33],"This":[34],"paper":[35],"analyzes":[36],"characteristics":[38,136],"scene":[41,54],"containing":[42],"equipment":[44],"operation":[47],"mode":[48],"UAVs.":[50],"A":[51],"low-cost":[52],"virtual":[53,91,138],"is":[55,65,83,86,97],"created,":[56],"training":[59,168],"sample":[60],"for":[61],"power-line":[63,185,189],"components":[64,148],"generated":[66],"quickly.":[67],"Taking":[68],"vibration-damper":[70],"as":[71,99,124],"main":[73],"object,":[74],"an":[75],"assembled":[76],"detector":[77,159],"based":[78],"on":[79],"geometrical":[80],"constraint":[81],"(ADGC)":[82],"proposed":[84],"used":[87,98],"to":[88,129,183],"analyze":[89],"dataset.":[92],"geometric":[94],"positional":[95],"relationship":[96],"constraint,":[101],"Faster":[104],"R-CNN,":[105],"Deformable":[106],"Part":[107],"Model":[108],"(DPM),":[109],"Haar":[111],"cascade":[112],"classifiers":[113],"are":[114,149],"combined,":[115],"allows":[117],"features":[119],"different":[121],"classifiers,":[122],"such":[123],"contour,":[125],"shape,":[126],"texture":[128],"be":[130,180],"fully":[131],"used.":[132],"By":[133],"combining":[134],"data":[139,142],"real":[141],"using":[143],"UAV":[144],"images,":[145],"detected":[150],"ADGC.":[153],"result":[155],"produced":[156],"with":[160],"relatively":[161],"good":[162],"performance":[163],"can":[164,179],"help":[165],"expand":[166],"set":[169],"achieve":[171],"better":[173],"detection":[174],"model.":[175],"Moreover,":[176],"this":[177],"method":[178],"smoothly":[181],"transferred":[182],"scenarios.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
