{"id":"https://openalex.org/W4353004354","doi":"https://doi.org/10.1109/tim.2023.3259047","title":"DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection","display_name":"DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4353004354","doi":"https://doi.org/10.1109/tim.2023.3259047"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3259047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259047","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/A5100698159","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0003-1212-9445"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","Robot Perception and Control Engineering Laboratory, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0003-1212-9445","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory, Henan Province, China","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002006897","display_name":"Shuyi Kong","orcid":"https://orcid.org/0000-0002-0808-9690"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyi Kong","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","Robot Perception and Control Engineering Laboratory, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-0808-9690","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory, Henan Province, China","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010898525","display_name":"Jiahui Deng","orcid":"https://orcid.org/0000-0003-4525-3717"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Deng","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","Robot Perception and Control Engineering Laboratory, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0003-4525-3717","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory, Henan Province, China","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055848183","display_name":"Heng Li","orcid":"https://orcid.org/0000-0003-1481-194X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","Robot Perception and Control Engineering Laboratory, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0003-1481-194X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory, Henan Province, China","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006721216","display_name":"Yanhong Liu","orcid":"https://orcid.org/0000-0002-7349-5871"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","Robot Perception and Control Engineering Laboratory, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-7349-5871","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory, Henan Province, China","institution_ids":["https://openalex.org/I4210144102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2252,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86779405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556982398033142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454713344573975},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5881521701812744},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5776870846748352},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5497362017631531},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5464048981666565},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5458961725234985},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5368801355361938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173072814941406},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4911362826824188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4529430568218231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41143253445625305},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4105134904384613},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17508691549301147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13223347067832947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12047293782234192}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556982398033142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454713344573975},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5881521701812744},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5776870846748352},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5497362017631531},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5464048981666565},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5458961725234985},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5368801355361938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173072814941406},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4911362826824188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4529430568218231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41143253445625305},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4105134904384613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17508691549301147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13223347067832947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12047293782234192},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3259047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259047","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/1","display_name":"No poverty","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G7366331128","display_name":null,"funder_award_id":"62003309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7783457614","display_name":null,"funder_award_id":"2020YFB1313701","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W938823233","https://openalex.org/W1901129140","https://openalex.org/W2004287565","https://openalex.org/W2113932228","https://openalex.org/W2143179355","https://openalex.org/W2164261767","https://openalex.org/W2172184200","https://openalex.org/W2194775991","https://openalex.org/W2333796428","https://openalex.org/W2407977833","https://openalex.org/W2521144071","https://openalex.org/W2775209736","https://openalex.org/W2787091153","https://openalex.org/W2794448688","https://openalex.org/W2798122215","https://openalex.org/W2800288384","https://openalex.org/W2903088819","https://openalex.org/W2909309670","https://openalex.org/W2923997689","https://openalex.org/W2971382205","https://openalex.org/W2976685420","https://openalex.org/W2985735046","https://openalex.org/W2989086476","https://openalex.org/W3002355869","https://openalex.org/W3015788359","https://openalex.org/W3035710032","https://openalex.org/W3082127514","https://openalex.org/W3098650625","https://openalex.org/W3129492101","https://openalex.org/W3135328933","https://openalex.org/W3156655103","https://openalex.org/W3160562841","https://openalex.org/W3162418282","https://openalex.org/W3162987547","https://openalex.org/W3169085302","https://openalex.org/W3183059737","https://openalex.org/W3200228565","https://openalex.org/W4205485472","https://openalex.org/W4210302585","https://openalex.org/W4220768766","https://openalex.org/W4226154576","https://openalex.org/W4226155060","https://openalex.org/W4226183856","https://openalex.org/W4226435628","https://openalex.org/W4292314562","https://openalex.org/W4293057111","https://openalex.org/W4293661597","https://openalex.org/W4312243195","https://openalex.org/W6703049675","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W4391013256"],"abstract_inverted_index":{"The":[0],"accurate":[1],"extraction":[2],"of":[3,60,91,153],"transmission":[4,42],"lines":[5],"from":[6,137,162],"UAV":[7],"aerial":[8],"photography":[9],"is":[10,132,146],"a":[11,78,87,112,180,195],"necessary":[12],"but":[13],"challenging":[14],"task":[15],"for":[16],"intelligent":[17],"power":[18,190,206],"inspection":[19],"due":[20],"to":[21,106,117,134,149,156],"some":[22,38,54],"factors,":[23],"such":[24,56],"as":[25,57],"complex":[26,138],"backgrounds,":[27],"varying":[28],"illumination,":[29],"and":[30,47,98,111,120,140,184,194,199],"class":[31],"imbalance":[32],"issue.":[33],"Although":[34],"there":[35,51],"have":[36],"been":[37],"research":[39],"achievements":[40],"in":[41],"line":[43,191,207],"extraction,":[44],"especially":[45],"U-Net":[46],"its":[48],"variant":[49],"networks,":[50],"are":[52],"still":[53],"shortcomings,":[55],"insufficiency":[58],"processing":[59],"local":[61],"features,":[62],"limited":[63],"noise":[64,128],"denoising":[65],"ability,":[66,71],"poor":[67],"edge":[68,142,159],"feature":[69,160],"representation":[70],"etc.":[72],"In":[73,124],"this":[74],"paper,":[75],"we":[76],"propose":[77],"dual-branch":[79,88],"residual":[80,92,100],"attention":[81],"network,":[82],"called":[83],"DRA-Net,":[84],"which":[85],"introduces":[86],"encoder":[89],"composed":[90],"convolutional":[93,101],"neural":[94,102],"network":[95,103,155],"(RCNN)":[96],"branch":[97,105],"recurrent":[99],"(RRCNN)":[104],"extract":[107,157],"richer":[108],"semantic":[109],"information":[110,122,161],"context":[113],"fusion":[114],"block":[115,130,144],"(CFB)":[116],"fuse":[118],"temporal":[119],"spatial":[121],"effectively.":[123],"addition,":[125],"an":[126,141,171],"U-shape":[127],"de-noising":[129],"(UND)":[131],"proposed":[133,148,167],"reduce":[135],"interference":[136],"backgrounds":[139],"enhancement":[143],"(EEB)":[145],"also":[147],"strength":[150],"the":[151],"capacity":[152],"segmentation":[154,173],"useful":[158],"noise.":[163],"Experiments":[164],"demonstrate":[165],"that":[166],"DRA-Net":[168],"has":[169],"obtained":[170],"excellent":[172],"manifestation":[174],"on":[175,188,203],"remote":[176],"sensing":[177],"images,":[178],"with":[179],"93.26%":[181],"Dice":[182,197],"coefficient":[183,198],"93.19%":[185],"mIOU":[186,201],"value":[187,202],"public":[189],"dataset":[192],"(PLD),":[193],"96.40%":[196],"96.04%":[200],"self-built":[204],"overhead":[205],"(OPL)":[208],"dataset.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
