{"id":"https://openalex.org/W4408792350","doi":"https://doi.org/10.1109/tim.2025.3552879","title":"Deformable Product Net: An Image Perception-Based Method for Power Line Defect Detection and Condition Assessment","display_name":"Deformable Product Net: An Image Perception-Based Method for Power Line Defect Detection and Condition Assessment","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408792350","doi":"https://doi.org/10.1109/tim.2025.3552879"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3552879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3552879","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5027293729","display_name":"Zhiwei Song","orcid":"https://orcid.org/0000-0002-1990-0645"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Song","raw_affiliation_strings":["School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1990-0645","affiliations":[{"raw_affiliation_string":"School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086703263","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0001-9136-9337"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["School of Electronics and Information, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9136-9337","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079591519","display_name":"Xinbo Huang","orcid":"https://orcid.org/0000-0002-9996-711X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Huang","raw_affiliation_strings":["School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9996-711X","affiliations":[{"raw_affiliation_string":"School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mechano -Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449330","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0002-7491-0977"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","School of Electronics and Information, Xi &#x2019; an Polytechnic University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7491-0977","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Mechano-Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronics and Information, Xi &#x2019; an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06074627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.996999979019165,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9965999722480774,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9765999913215637,"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/product-line","display_name":"Product line","score":0.6013999581336975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.544459879398346},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5342667698860168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5136410593986511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49638086557388306},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4798716604709625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.476551353931427},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4717805087566376},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.469030499458313},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4500744640827179},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26160162687301636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1594679057598114},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1304323375225067},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1030416488647461}],"concepts":[{"id":"https://openalex.org/C2988046880","wikidata":"https://www.wikidata.org/wiki/Q3084961","display_name":"Product line","level":2,"score":0.6013999581336975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.544459879398346},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5342667698860168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5136410593986511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49638086557388306},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4798716604709625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.476551353931427},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4717805087566376},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.469030499458313},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4500744640827179},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26160162687301636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1594679057598114},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1304323375225067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1030416488647461},{"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/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3552879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3552879","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4099999964237213,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3770611011","display_name":null,"funder_award_id":"2023-CX-PT-30","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8589382434","display_name":null,"funder_award_id":"52307182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2796043095","https://openalex.org/W2906383493","https://openalex.org/W2981903848","https://openalex.org/W2982083293","https://openalex.org/W2989604896","https://openalex.org/W2997178581","https://openalex.org/W3024280617","https://openalex.org/W3092073132","https://openalex.org/W3196343626","https://openalex.org/W3212386989","https://openalex.org/W4281788503","https://openalex.org/W4285043198","https://openalex.org/W4285166851","https://openalex.org/W4313007769","https://openalex.org/W4319863560","https://openalex.org/W4366378388","https://openalex.org/W4385219252","https://openalex.org/W4386047745","https://openalex.org/W4386736854","https://openalex.org/W4387010224","https://openalex.org/W4387587587","https://openalex.org/W4387986938","https://openalex.org/W4388505182","https://openalex.org/W4388919406","https://openalex.org/W4390872670","https://openalex.org/W4390874070","https://openalex.org/W4391100563","https://openalex.org/W4392477670","https://openalex.org/W4394828182","https://openalex.org/W4398151449","https://openalex.org/W4399576252","https://openalex.org/W4399946473","https://openalex.org/W4400523110","https://openalex.org/W4401548585","https://openalex.org/W4402667905","https://openalex.org/W4402716047","https://openalex.org/W4402727675","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W2032272633","https://openalex.org/W2378048258","https://openalex.org/W4300954911","https://openalex.org/W2013698029","https://openalex.org/W2488659739","https://openalex.org/W2352540600","https://openalex.org/W4236893163","https://openalex.org/W2376939523","https://openalex.org/W2941415828","https://openalex.org/W1983056651"],"abstract_inverted_index":{"The":[0,121],"performance":[1,129,177],"of":[2,12,23,32,62,161,180],"power":[3,63,144,200],"line":[4,145,201],"structures":[5],"is":[6],"crucial":[7],"for":[8,130,142],"the":[9,20,58,158,210,243],"reliable":[10],"operation":[11],"transmission":[13],"and":[14,30,65,72,80,100,107,114,156,184,192,209,225,228,239],"distribution":[15],"systems,":[16],"with":[17,150],"defects":[18],"being":[19],"leading":[21],"cause":[22],"failures.":[24],"Current":[25],"research":[26],"lacks":[27],"practical":[28],"modeling":[29],"analysis":[31,79],"common":[33],"defect":[34,70,146,202],"types.":[35],"Existing":[36],"intelligent":[37],"detection":[38,147],"algorithms":[39],"typically":[40],"prioritize":[41],"either":[42],"prediction":[43,105,185],"accuracy":[44,106],"or":[45],"computational":[46,108],"efficiency":[47],"but":[48],"seldom":[49],"address":[50],"both":[51,181],"simultaneously.":[52],"In":[53],"this":[54,162],"study,":[55],"we":[56,134,194],"construct":[57],"3-D":[59],"spatial":[60],"coordinates":[61],"lines":[64],"define":[66],"methods":[67],"to":[68,127,188,242],"calculate":[69],"depth":[71],"area":[73],"using":[74,198],"mathematical":[75],"relations,":[76],"facilitating":[77],"quantitative":[78],"early-warning":[81],"classification.":[82],"We":[83],"propose":[84],"a":[85,97,151,199],"lightweight":[86],"network,":[87],"deformable":[88],"product":[89],"net,":[90],"which":[91],"reduces":[92],"model":[93],"complexity":[94],"by":[95],"employing":[96],"simplified":[98],"backbone":[99],"head":[101],"structure.":[102],"To":[103],"balance":[104],"efficiency,":[109],"context":[110],"anchor":[111],"attention":[112],"(CAA)":[113],"task-aligned":[115],"learning":[116],"(TAL)":[117],"strategies":[118],"are":[119],"implemented.":[120],"network":[122],"can":[123,245],"dynamically":[124],"adjust":[125],"parameters":[126],"optimize":[128],"different":[131],"tasks.":[132,167],"Additionally,":[133],"have":[135],"designed":[136],"an":[137],"upper":[138],"computer":[139,217],"software":[140],"interface":[141],"real-time":[143],"(PLDD),":[148],"integrated":[149],"hardware":[152],"edge":[153],"computing":[154],"module,":[155],"explored":[157],"potential":[159],"application":[160],"method":[163,221],"in":[164,178],"semantic":[165],"segmentation":[166],"Experimental":[168],"results":[169],"demonstrate":[170],"that":[171],"our":[172],"algorithm":[173],"achieves":[174],"state-of-the-art":[175],"(SOTA)":[176],"terms":[179],"parameter":[182],"scale":[183],"accuracy.":[186],"Furthermore,":[187],"evaluate":[189],"its":[190,232],"portability":[191],"robustness,":[193],"perform":[195],"additional":[196],"comparisons":[197],"verification":[203],"dataset,":[204],"two":[205],"separate":[206],"test":[207],"sets,":[208],"public":[211],"PASCAL":[212],"VOC":[213],"2007":[214],"datasets":[215,244],"(a":[216],"vision":[218],"dataset).":[219],"Our":[220,234],"outperforms":[222],"existing":[223],"approaches,":[224],"further":[226,237],"comparative":[227],"ablation":[229],"experiments":[230],"confirm":[231],"efficacy.":[233],"work":[235],"encourages":[236],"exploration,":[238],"tasks":[240],"related":[241],"be":[246],"accessed":[247],"at:":[248],"<uri":[249],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[250],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/songzhiweiknight/Power-line-data-set</uri>.":[251]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}