{"id":"https://openalex.org/W4404788863","doi":"https://doi.org/10.1109/tgrs.2024.3506564","title":"A Photovoltaic Hot-Spot Fault Detection Network for Aerial Images Based on Progressive Transfer Learning and Multiscale Feature Fusion","display_name":"A Photovoltaic Hot-Spot Fault Detection Network for Aerial Images Based on Progressive Transfer Learning and Multiscale Feature Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404788863","doi":"https://doi.org/10.1109/tgrs.2024.3506564"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3506564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3506564","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5001206420","display_name":"Shuai Hao","orcid":"https://orcid.org/0000-0002-6133-0324"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Hao","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6133-0324","affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiahao Li","orcid":"https://orcid.org/0009-0008-6829-1859"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Li","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0008-6829-1859","affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042739095","display_name":"Xu Ma","orcid":"https://orcid.org/0000-0002-6765-2025"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ma","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108918242","display_name":"Siya Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siya Sun","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109616115","display_name":"Zhuo Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Tian","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777512","display_name":"Tianqi Li","orcid":"https://orcid.org/0000-0002-5723-0961"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Li","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100950294","display_name":"Yifeng Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Hou","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.406,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90413378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9790999889373779,"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":0.9790999889373779,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9495999813079834,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6135940551757812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5857723951339722},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5585179328918457},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.5470224618911743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211353898048401},{"id":"https://openalex.org/keywords/hot-spot","display_name":"Hot spot (computer programming)","score":0.5156868696212769},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5081343650817871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4956289529800415},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4834807515144348},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4766210615634918},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46279430389404297},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46124571561813354},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4349072575569153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41707348823547363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3342307209968567},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2113669216632843},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16060566902160645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14476802945137024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13257989287376404},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.0978451669216156},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08560836315155029}],"concepts":[{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6135940551757812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5857723951339722},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5585179328918457},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.5470224618911743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211353898048401},{"id":"https://openalex.org/C199672914","wikidata":"https://www.wikidata.org/wiki/Q4241353","display_name":"Hot spot (computer programming)","level":2,"score":0.5156868696212769},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5081343650817871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4956289529800415},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4834807515144348},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4766210615634918},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46279430389404297},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46124571561813354},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4349072575569153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41707348823547363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3342307209968567},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2113669216632843},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16060566902160645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14476802945137024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13257989287376404},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0978451669216156},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08560836315155029},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3506564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3506564","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G7165330635","display_name":null,"funder_award_id":"2024JC-YBMS-490","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1986614398","https://openalex.org/W2922509574","https://openalex.org/W3004904391","https://openalex.org/W3041133507","https://openalex.org/W3070616691","https://openalex.org/W3107867277","https://openalex.org/W3110904017","https://openalex.org/W3160463378","https://openalex.org/W3172087149","https://openalex.org/W4214507171","https://openalex.org/W4225590485","https://openalex.org/W4284712931","https://openalex.org/W4293795999","https://openalex.org/W4311278442","https://openalex.org/W4386047745","https://openalex.org/W4386071462","https://openalex.org/W4386076325","https://openalex.org/W4386472860","https://openalex.org/W4387332817","https://openalex.org/W4387422620","https://openalex.org/W4388098801","https://openalex.org/W4389613390","https://openalex.org/W4389687424","https://openalex.org/W4391559729","https://openalex.org/W4391765440","https://openalex.org/W4391943446","https://openalex.org/W4392763860","https://openalex.org/W4399768580","https://openalex.org/W4402754006","https://openalex.org/W6856831935"],"related_works":["https://openalex.org/W4304092003","https://openalex.org/W2379142291","https://openalex.org/W2056851929","https://openalex.org/W2252731128","https://openalex.org/W2360245112","https://openalex.org/W2369166484","https://openalex.org/W1989735375","https://openalex.org/W2736580264","https://openalex.org/W1996708040","https://openalex.org/W2388980657"],"abstract_inverted_index":{"The":[0,179],"number":[1,61],"of":[2,6,13,38,62,105,119,204],"samples":[3,65,80,97],"is":[4,26,56,81,98,136,153,177,200],"one":[5],"the":[7,11,20,23,31,36,69,73,85,102,111,141,146,160,189],"key":[8],"factors":[9],"affecting":[10],"performance":[12],"deep":[14],"learning-based":[15],"detection":[16,24,45,120,142,190,207],"networks.":[17],"Aiming":[18],"at":[19],"problem":[21],"that":[22,203],"network":[25,46],"difficult":[27],"to":[28,83,100,109,139,155,164],"accurately":[29,166],"detect":[30],"hot-spot":[32,43,64,106,168],"fault":[33,44],"targets":[34],"under":[35],"condition":[37],"small":[39],"samples,":[40],"a":[41,59,91,122],"photovoltaic":[42],"based":[47,94,127],"on":[48,95,128],"progressive":[49],"transfer":[50],"learning":[51],"and":[52,72,78,114,131,144,148,196],"multiscale":[53,112,132],"feature":[54,116,124,133],"fusion":[55,134],"proposed.":[57],"First,":[58],"large":[60],"artificial":[63,70,79,96],"are":[66],"generated":[67],"through":[68],"model,":[71],"mixed":[74],"dataset":[75],"containing":[76],"real":[77],"constructed":[82],"improve":[84,115],"data":[86],"diversity.":[87],"On":[88],"this":[89],"basis,":[90],"pre-trained":[92],"model":[93],"established":[99],"learn":[101],"shallow":[103],"features":[104,113],"faults.":[107],"Then,":[108],"fuse":[110],"aggregation":[117],"ability":[118],"network,":[121],"novel":[123],"pyramid":[125],"structure":[126],"reparameterized":[129],"generalized":[130],"(RepG-MSFF)":[135],"designed.":[137],"Moreover,":[138],"balance":[140],"accuracy":[143,191],"speed,":[145],"spatial":[147],"channel":[149],"reconstruction":[150],"convolution":[151,158],"(SCConv)":[152],"utilized":[154],"replace":[156],"conventional":[157],"in":[159,184],"backbone":[161],"network.":[162],"Finally,":[163],"further":[165],"locate":[167],"targets,":[169],"an":[170],"adaptive":[171],"threshold":[172],"focal":[173],"loss":[174],"(TFL)":[175],"function":[176],"introduced.":[178],"experimental":[180],"results":[181],"indicate":[182],"that,":[183],"three":[185],"different":[186],"scenarios":[187],"datasets,":[188],"can":[192],"reach":[193],"87.9%,":[194],"88.6%,":[195],"87.7%,":[197],"respectively,":[198],"which":[199],"higher":[201],"than":[202],"other":[205],"nine":[206],"algorithms.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}