{"id":"https://openalex.org/W4387247743","doi":"https://doi.org/10.1109/access.2023.3321066","title":"Video Detection of Small Leaks in Buried Gas Pipelines","display_name":"Video Detection of Small Leaks in Buried Gas Pipelines","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387247743","doi":"https://doi.org/10.1109/access.2023.3321066"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3321066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3321066","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10268423.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":null,"license_id":null,"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/ielx7/6287639/6514899/10268423.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053856520","display_name":"Yuxin Zhao","orcid":"https://orcid.org/0009-0003-0181-070X"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Zhao","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-0181-070X","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010426520","display_name":"Zhong Su","orcid":"https://orcid.org/0000-0003-2303-9787"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Su","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2303-9787","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102009223","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0003-0642-881X"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090269605","display_name":"Jiazhen Lin","orcid":"https://orcid.org/0009-0004-9377-2460"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhen Lin","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7445,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73199456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"109708","last_page":"109721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9799000024795532,"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":0.9799000024795532,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.8163961172103882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397890448570251},{"id":"https://openalex.org/keywords/leak","display_name":"Leak","score":0.571232259273529},{"id":"https://openalex.org/keywords/leak-detection","display_name":"Leak detection","score":0.5410115122795105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5385139584541321},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4282896816730499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41038933396339417},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3426821827888489},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1608816683292389}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.8163961172103882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397890448570251},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.571232259273529},{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.5410115122795105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5385139584541321},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4282896816730499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41038933396339417},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3426821827888489},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1608816683292389},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3321066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3321066","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10268423.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81dc33e9763446eb8572d0d9410170a8","is_oa":true,"landing_page_url":"https://doaj.org/article/81dc33e9763446eb8572d0d9410170a8","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 11, Pp 109708-109721 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3321066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3321066","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10268423.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2102774235","display_name":"\u5927\u8de8\u5ea6\u76f2\u73af\u5883\u4e2d\u591a\u6e90\u591a\u57df\u4fe1\u606f\u878d\u5408\u7684\u53ef\u7a7f\u6234\u5f0f\u4e2a\u4eba\u5b9a\u4f4d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2735909858","display_name":null,"funder_award_id":"2022YFF0607400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4841376833","display_name":null,"funder_award_id":"2020YFC1511702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7331136627","display_name":null,"funder_award_id":"2020YFC1511702","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387247743.pdf","grobid_xml":"https://content.openalex.org/works/W4387247743.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1849277567","https://openalex.org/W2109255472","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2471494313","https://openalex.org/W2894878591","https://openalex.org/W2963857746","https://openalex.org/W2991253164","https://openalex.org/W2996119676","https://openalex.org/W3003864450","https://openalex.org/W3034971973","https://openalex.org/W3093500542","https://openalex.org/W3106250896","https://openalex.org/W3121099149","https://openalex.org/W3151783630","https://openalex.org/W3202935439","https://openalex.org/W4289820825","https://openalex.org/W4365515433","https://openalex.org/W4379184848","https://openalex.org/W4381383946"],"related_works":["https://openalex.org/W2357422790","https://openalex.org/W4213010826","https://openalex.org/W1968766800","https://openalex.org/W1553563528","https://openalex.org/W2089419128","https://openalex.org/W2271340062","https://openalex.org/W2356864307","https://openalex.org/W4389695218","https://openalex.org/W2371267147","https://openalex.org/W2152530389"],"abstract_inverted_index":{"For":[0],"the":[1,27,82,109,117,131,134,142,158,166,171],"problem":[2],"of":[3,6,16,39,85,112,138,141,161],"difficult":[4],"tracking":[5],"small":[7,17,56,87,92,98,114,122,139],"leaks":[8,18,40,57,123,140],"in":[9,19,58,102,124,150],"buried":[10,20,31,42,59,125],"gas":[11,21,32,43,60,126],"pipelines,":[12,61],"a":[13,47,51,63,76,91,97,178],"video":[14,52,118,135],"detection":[15,28,53,94,100,119,136,148,180],"pipelines":[22,44,127],"method":[23,163],"is":[24,128,144,164,168,174],"proposed":[25],"for":[26,55,121],"robot":[29],"inside":[30,41],"pipelines.":[33],"Firstly,":[34],"collecting":[35],"images":[36],"and":[37,74,96,170,182],"videos":[38],"to":[45,80,107],"establish":[46],"dataset.":[48,132],"Secondly,":[49],"building":[50,90],"model":[54,120,143],"introduce":[62],"bidirectional":[64],"feature":[65,77],"pyramid":[66],"network":[67,79,106],"into":[68],"YOLOv5s":[69,103],"(You":[70],"Only":[71],"Look":[72],"Once),":[73],"build":[75],"fusion":[78],"enhance":[81,108],"model\u2019s":[83,110],"ability":[84,111],"fusing":[86,113],"leaks.":[88,115],"Thirdly,":[89],"target":[93,99],"layer":[95],"head":[101],"classification":[104],"prediction":[105],"Fourthly,":[116],"trained":[129],"using":[130],"Lastly,":[133],"effect":[137,181],"verified":[145],"through":[146],"leak":[147],"experiments":[149],"various":[151],"situations.":[152],"The":[153],"experimental":[154],"results":[155],"show":[156],"that":[157],"precision":[159,173],"rate":[160],"this":[162],"94.1%,":[165],"recall":[167],"94.8%,":[169],"average":[172],"94.5%,":[175],"which":[176],"has":[177],"good":[179],"strong":[183],"generalization":[184],"ability.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
