{"id":"https://openalex.org/W4387802632","doi":"https://doi.org/10.1109/igarss52108.2023.10282739","title":"Semantic Segmentation of Oil Well Sites Using Sentinel-2 Imagery","display_name":"Semantic Segmentation of Oil Well Sites Using Sentinel-2 Imagery","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802632","doi":"https://doi.org/10.1109/igarss52108.2023.10282739"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282739","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100702419","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0001-8899-2734"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Northeast Petroleum University,Artificial Intelligence Energy Research Institute","Artificial Intelligence Energy Research Institute, Northeast Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Petroleum University,Artificial Intelligence Energy Research Institute","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064660687","display_name":"Hongli Dong","orcid":"https://orcid.org/0000-0001-8531-6757"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Dong","raw_affiliation_strings":["Northeast Petroleum University,Artificial Intelligence Energy Research Institute","Artificial Intelligence Energy Research Institute, Northeast Petroleum University","Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Petroleum University,Artificial Intelligence Energy Research Institute","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042518433","display_name":"Zhibao Wang","orcid":"https://orcid.org/0000-0003-1752-3468"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibao Wang","raw_affiliation_strings":["Northeast Petroleum University,School of Computer and Information Technology,Daqing,China","Bohai-Rim Energy Research Institute, Northeast Petroleum University, Qinhuangdao, China","School of Computer and Information Technology, Northeast Petroleum University, Daqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Petroleum University,School of Computer and Information Technology,Daqing,China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Bohai-Rim Energy Research Institute, Northeast Petroleum University, Qinhuangdao, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]},{"raw_affiliation_string":"School of Computer and Information Technology, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017499714","display_name":"Lu Bai","orcid":"https://orcid.org/0000-0003-1242-5412"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lu Bai","raw_affiliation_strings":["Ulster University,School of Computing,Belfast,UK","School of Computing, Ulster University, Belfast, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulster University,School of Computing,Belfast,UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"School of Computing, Ulster University, Belfast, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005609800","display_name":"Fengcai Huo","orcid":"https://orcid.org/0000-0002-5747-2178"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengcai Huo","raw_affiliation_strings":["Northeast Petroleum University,Artificial Intelligence Energy Research Institute","Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University","Artificial Intelligence Energy Research Institute, Northeast Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Petroleum University,Artificial Intelligence Energy Research Institute","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108935169","display_name":"Jinhua Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Tao","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Beijing,China","State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115588562","display_name":"Liangfu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangfu Chen","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Beijing,China","State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9351","issue":null,"first_page":"6901","last_page":"6904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250614166259766},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6927331686019897},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6436150074005127},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6202043294906616},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5326734781265259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260893106460571},{"id":"https://openalex.org/keywords/petroleum","display_name":"Petroleum","score":0.4872376024723053},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.48519280552864075},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.44514554738998413},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43835383653640747},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41719380021095276},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17440316081047058},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08296138048171997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250614166259766},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6927331686019897},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6436150074005127},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6202043294906616},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5326734781265259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260893106460571},{"id":"https://openalex.org/C548895740","wikidata":"https://www.wikidata.org/wiki/Q22656","display_name":"Petroleum","level":2,"score":0.4872376024723053},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.48519280552864075},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.44514554738998413},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43835383653640747},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41719380021095276},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17440316081047058},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08296138048171997},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282739","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2308318555","https://openalex.org/W2915254566","https://openalex.org/W2964309882","https://openalex.org/W2965881028","https://openalex.org/W3087960353","https://openalex.org/W3136966120","https://openalex.org/W3194872678","https://openalex.org/W3199650914","https://openalex.org/W3207778242","https://openalex.org/W4226456028","https://openalex.org/W4254221666","https://openalex.org/W4283383339","https://openalex.org/W4312662580","https://openalex.org/W4366750548","https://openalex.org/W4377136712"],"related_works":["https://openalex.org/W2429057255","https://openalex.org/W2187546663","https://openalex.org/W148745890","https://openalex.org/W4389670110","https://openalex.org/W2611942503","https://openalex.org/W4315621326","https://openalex.org/W2899790217","https://openalex.org/W2598865957","https://openalex.org/W1576092969","https://openalex.org/W2524154428"],"abstract_inverted_index":{"The":[0],"number":[1],"and":[2,16,52,64,102],"geographical":[3],"location":[4],"of":[5,68,77],"oil":[6,13,25,39,78,147],"well":[7,26,40,79,148],"sites":[8,27,41,80],"can":[9],"reflect":[10],"the":[11,65,74,90],"local":[12],"production":[14],"situation":[15],"there":[17],"is":[18,50],"a":[19],"growing":[20],"interest":[21],"in":[22,59,146],"automatically":[23],"identifying":[24],"from":[28,43,81],"remote":[29,60,82,121,143],"sensing":[30,45,61,83,122,144],"images.":[31,46,84,123],"Traditionally,":[32],"visual":[33],"interpretation":[34],"was":[35],"employed":[36],"to":[37,103],"extract":[38],"locations":[42],"remotely":[44],"However,":[47],"this":[48,86,137],"approach":[49],"time-consuming":[51],"heavily":[53],"dependent":[54],"on":[55,115,136],"domain":[56],"experts.":[57],"Advancements":[58],"satellite":[62],"technology":[63],"widespread":[66],"use":[67],"deep":[69,111,130],"learning":[70,112,131],"algorithms":[71,118],"have":[72],"enabled":[73],"automated":[75],"extraction":[76],"In":[85],"paper,":[87],"we":[88],"established":[89],"Northeast":[91],"Petroleum":[92],"University":[93],"Oil":[94],"Well":[95],"Sites":[96],"Dataset":[97],"Version":[98],"1.0":[99],"(NEPU-OWS":[100],"V1.0),":[101],"evaluate":[104],"its":[105],"usability":[106],"by":[107],"comparing":[108],"several":[109],"different":[110],"models":[113,132],"based":[114],"semantic":[116],"segmentation":[117],"for":[119,142],"optical":[120],"Experimental":[124],"results":[125],"show":[126],"that":[127],"current":[128],"advanced":[129],"achieve":[133],"high":[134],"accuracy":[135],"dataset,":[138],"demonstrating":[139],"great":[140],"potential":[141],"detection":[145],"sites.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
