{"id":"https://openalex.org/W3023395698","doi":"https://doi.org/10.1109/access.2020.2990539","title":"Fusion of Infrared-Visible Images in UE-IoT for Fault Point Detection Based on GAN","display_name":"Fusion of Infrared-Visible Images in UE-IoT for Fault Point Detection Based on GAN","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023395698","doi":"https://doi.org/10.1109/access.2020.2990539","mag":"3023395698"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2990539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078757.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078757.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084428542","display_name":"Bin Liao","orcid":"https://orcid.org/0000-0003-1853-7570"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"You Du","orcid":"https://orcid.org/0000-0002-6231-1520"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Du","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6231-1520","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049113644","display_name":"Xiangyun Yin","orcid":"https://orcid.org/0000-0002-3945-3395"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyun Yin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.7816,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94108064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"79754","last_page":"79763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9961000084877014,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955999851226807,"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":0.7532970905303955},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6670364737510681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167383790016174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5856348872184753},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.537101149559021},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5336606502532959},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.47955724596977234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32687634229660034},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2039387822151184},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11331450939178467},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08189553022384644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532970905303955},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6670364737510681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167383790016174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5856348872184753},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.537101149559021},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5336606502532959},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.47955724596977234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32687634229660034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2039387822151184},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11331450939178467},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08189553022384644},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2990539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078757.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c18defd2fd0f429eb3156c55240711bf","is_oa":true,"landing_page_url":"https://doaj.org/article/c18defd2fd0f429eb3156c55240711bf","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":"IEEE Access, Vol 8, Pp 79754-79763 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2990539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078757.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5799999833106995,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023395698.pdf","grobid_xml":"https://content.openalex.org/works/W3023395698.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W284653500","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1964641132","https://openalex.org/W1980382026","https://openalex.org/W1994616697","https://openalex.org/W1994714721","https://openalex.org/W1997480692","https://openalex.org/W2056346283","https://openalex.org/W2062599688","https://openalex.org/W2072508635","https://openalex.org/W2076818627","https://openalex.org/W2125389028","https://openalex.org/W2131940220","https://openalex.org/W2159269332","https://openalex.org/W2532801510","https://openalex.org/W2589745805","https://openalex.org/W2593414223","https://openalex.org/W2596706891","https://openalex.org/W2605135824","https://openalex.org/W2626224522","https://openalex.org/W2744070429","https://openalex.org/W2754901109","https://openalex.org/W2772136803","https://openalex.org/W2783861674","https://openalex.org/W2790030265","https://openalex.org/W2798483734","https://openalex.org/W2798987894","https://openalex.org/W2809216229","https://openalex.org/W2809795042","https://openalex.org/W2810309838","https://openalex.org/W2883880986","https://openalex.org/W2887817291","https://openalex.org/W2890858414","https://openalex.org/W2898588903","https://openalex.org/W2902648077","https://openalex.org/W2912149378","https://openalex.org/W2948725190","https://openalex.org/W2962861417","https://openalex.org/W2963787388","https://openalex.org/W2963840672","https://openalex.org/W2966716359","https://openalex.org/W2991563753","https://openalex.org/W3105639468","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6610292055","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6668586937","https://openalex.org/W6678815747","https://openalex.org/W6696085341","https://openalex.org/W6750688579","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4312613727","https://openalex.org/W2419576664","https://openalex.org/W3007420330","https://openalex.org/W2318670660","https://openalex.org/W2010729749","https://openalex.org/W1968790341","https://openalex.org/W2101992317","https://openalex.org/W1979848552","https://openalex.org/W1990216444","https://openalex.org/W2900568167"],"abstract_inverted_index":{"In":[0,60,74,120,165],"the":[1,43,52,69,78,117,121,123,127,138,154,161,171],"development":[2],"of":[3,9,24,27,48,57,68,80,173],"modern":[4],"intelligent":[5],"Ubiquitous":[6],"Electric":[7],"Internet":[8],"Things":[10],"(UE-IoT),":[11],"infrared":[12,49,92],"thermal":[13,72],"imaging":[14],"always":[15],"plays":[16],"an":[17],"important":[18],"role":[19],"in":[20,37,141],"automated":[21],"early-warning":[22],"detection":[23,79,172],"developing":[25],"failures":[26],"critical":[28],"assets":[29],"such":[30],"as":[31],"transformers,":[32],"disconnects":[33],"and":[34,46,55,93,106,133,160,178],"capacity":[35],"banks":[36],"electrical":[38],"power":[39],"substation":[40],"non-intrusively.":[41],"However,":[42],"low":[44],"resolution":[45],"contrast":[47],"images":[50,63],"hinder":[51],"subsequent":[53],"analysis":[54],"recognition":[56],"fault":[58,81,155,174],"points.":[59],"contrast,":[61],"visible":[62,94,134],"present":[64],"abundant":[65],"texture":[66,128],"details":[67,162],"equipment":[70],"without":[71],"information.":[73],"order":[75],"to":[76,98,115],"assist":[77],"points,":[82],"this":[83,166],"paper":[84],"proposes":[85],"a":[86,100],"Generative":[87],"adversarial":[88],"networks":[89],"(GAN)":[90],"based":[91],"image":[95,102,132,135],"fusion":[96,131],"method":[97,125],"produce":[99],"composite":[101],"with":[103],"enhanced":[104],"edges":[105],"better":[107],"quality.":[108],"The":[109,149],"edge":[110],"loss":[111],"function":[112],"is":[113],"added":[114],"represent":[116],"perceptual":[118],"edges.":[119],"discriminator,":[122],"proposed":[124],"improves":[126],"similarity":[129],"between":[130],"by":[136],"minimizing":[137],"Wasserstein":[139],"distance":[140],"VGG":[142],"(Visual":[143],"Geometry":[144],"Group":[145],"network)":[146],"feature":[147],"space.":[148],"experimental":[150],"results":[151],"show":[152],"that":[153],"regions":[156],"become":[157],"more":[158],"salient":[159],"are":[163],"enhanced.":[164],"way,":[167],"it":[168],"can":[169],"facilitate":[170],"points":[175],"both":[176],"reliably":[177],"accurately.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
