{"id":"https://openalex.org/W4411295886","doi":"https://doi.org/10.1142/s0218001425500168","title":"Application Exploration of Multi-Scale Edge Detection and SIFT Feature Fusion in Digital Twin Pattern Recognition for Power Grids","display_name":"Application Exploration of Multi-Scale Edge Detection and SIFT Feature Fusion in Digital Twin Pattern Recognition for Power Grids","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411295886","doi":"https://doi.org/10.1142/s0218001425500168"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500168","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5090059260","display_name":"Chunmei Zhang","orcid":"https://orcid.org/0009-0007-0386-2457"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":true,"raw_author_name":"Chunmei Zhang","raw_affiliation_strings":["Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0007-0386-2457","affiliations":[{"raw_affiliation_string":"Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048156108","display_name":"Xingque Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Xingque Xu","raw_affiliation_strings":["Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0003-4678-1762","affiliations":[{"raw_affiliation_string":"Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongjian Li","orcid":"https://orcid.org/0009-0003-6234-0908"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Yongjian Li","raw_affiliation_strings":["Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0003-6234-0908","affiliations":[{"raw_affiliation_string":"Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003475848","display_name":"Silin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Silin Liu","raw_affiliation_strings":["Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0009-4941-6174","affiliations":[{"raw_affiliation_string":"Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jianyi Li","orcid":"https://orcid.org/0009-0006-1905-8570"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Jianyi Li","raw_affiliation_strings":["Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0006-1905-8570","affiliations":[{"raw_affiliation_string":"Zhongshan Power Supply Bureau Guangdong Power Grid Co., Ltd., Zhongshan, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090059260"],"corresponding_institution_ids":["https://openalex.org/I74872605","https://openalex.org/I867306930"],"apc_list":null,"apc_paid":null,"fwci":1.9517,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86339862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"39","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12451","display_name":"Smart Grid and Power Systems","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14042","display_name":"Technology and Security Systems","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8338981866836548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7843800187110901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7094380259513855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629422307014465},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5907356142997742},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5198177099227905},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5040637254714966},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5008883476257324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4711636006832123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36504146456718445}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8338981866836548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7843800187110901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7094380259513855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629422307014465},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5907356142997742},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5198177099227905},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5040637254714966},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5008883476257324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4711636006832123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36504146456718445},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425500168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500168","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2889456682","https://openalex.org/W2899479069","https://openalex.org/W2903824448","https://openalex.org/W2922354583","https://openalex.org/W2966883685","https://openalex.org/W3006492943","https://openalex.org/W3034278302","https://openalex.org/W3094550259","https://openalex.org/W3178406257","https://openalex.org/W3178479545","https://openalex.org/W3200729277","https://openalex.org/W4254905548","https://openalex.org/W4281785895","https://openalex.org/W4294732291","https://openalex.org/W4307435125","https://openalex.org/W4312740349","https://openalex.org/W4317790276","https://openalex.org/W4384835676","https://openalex.org/W4385296064","https://openalex.org/W4387199878","https://openalex.org/W4393973089"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2049930962"],"abstract_inverted_index":{"Digital":[0],"twin":[1,144],"technology":[2],"is":[3,10,74],"transforming":[4],"the":[5,94,119,131],"way":[6],"power":[7,83],"grid":[8,84,148],"infrastructure":[9],"monitored":[11],"and":[12,54,101,107,136],"managed,":[13],"yet":[14],"accurate":[15],"pattern":[16],"recognition":[17],"under":[18,86],"complex":[19],"visual":[20],"conditions":[21],"remains":[22],"a":[23,46,60,77],"significant":[24],"challenge.":[25],"Traditional":[26],"edge-":[27],"or":[28,41],"feature-based":[29],"methods":[30],"struggle":[31],"to":[32],"maintain":[33],"robustness":[34],"in":[35,124,146],"environments":[36],"affected":[37],"by":[38],"fog,":[39],"shadow,":[40],"occlusion.":[42],"This":[43],"paper":[44],"proposes":[45],"fusion":[47],"framework":[48],"that":[49,64,93],"combines":[50],"multi-scale":[51],"edge":[52],"detection":[53],"SIFT-based":[55],"local":[56],"descriptors,":[57],"integrated":[58],"through":[59],"learnable":[61],"attention":[62],"mechanism":[63],"adaptively":[65],"weights":[66],"features":[67],"at":[68],"each":[69],"pixel":[70],"location.":[71],"The":[72,115],"method":[73,135],"evaluated":[75],"on":[76],"custom":[78],"UAV-acquired":[79],"dataset":[80],"containing":[81],"high-resolution":[82],"imagery":[85],"diverse":[87],"environmental":[88],"scenarios.":[89],"Experimental":[90],"results":[91,129],"demonstrate":[92],"proposed":[95],"approach":[96],"significantly":[97],"outperforms":[98],"edge-only,":[99],"SIFT-only,":[100],"U-Net":[102],"models":[103],"across":[104],"SSIM,":[105],"F1-score,":[106],"IoU":[108],"metrics,":[109],"while":[110],"maintaining":[111],"practical":[112],"inference":[113],"speed.":[114],"model":[116],"also":[117],"achieves":[118],"lowest":[120],"3D":[121],"registration":[122],"error":[123],"point":[125],"cloud":[126],"alignment.":[127],"These":[128],"confirm":[130],"effectiveness":[132],"of":[133],"our":[134],"highlight":[137],"its":[138],"potential":[139],"for":[140],"accurate,":[141],"robust":[142],"digital":[143],"construction":[145],"real-world":[147],"inspection":[149],"systems.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}