{"id":"https://openalex.org/W4384303954","doi":"https://doi.org/10.1109/tgrs.2023.3295730","title":"Seismic Random Noise Attenuation Based on M-ResUNet","display_name":"Seismic Random Noise Attenuation Based on M-ResUNet","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384303954","doi":"https://doi.org/10.1109/tgrs.2023.3295730"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3295730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3295730","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5101610172","display_name":"Jian Gao","orcid":"https://orcid.org/0000-0002-5728-904X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Gao","raw_affiliation_strings":["School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5728-904X","affiliations":[{"raw_affiliation_string":"School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121295","display_name":"Zhenchun Li","orcid":"https://orcid.org/0000-0001-7170-7538"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchun Li","raw_affiliation_strings":["School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7170-7538","affiliations":[{"raw_affiliation_string":"School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102014009","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-0230-1862"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0230-1862","affiliations":[{"raw_affiliation_string":"School of Earth Science and Technology and the National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":1.4169,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77899745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/noise-reduction","display_name":"Noise reduction","score":0.8284376263618469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458655834197998},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6339375376701355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5857883095741272},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5618969202041626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49796414375305176},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4928562641143799},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4688716232776642},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42702099680900574},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4176274836063385},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.41636228561401367},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3638404607772827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14731469750404358},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.11384841799736023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07202985882759094},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0672818124294281}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8284376263618469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458655834197998},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6339375376701355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5857883095741272},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5618969202041626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49796414375305176},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4928562641143799},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4688716232776642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42702099680900574},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4176274836063385},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41636228561401367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3638404607772827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14731469750404358},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.11384841799736023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07202985882759094},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0672818124294281},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3295730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3295730","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4007248237","display_name":null,"funder_award_id":"ZD2019-183-003","funder_id":"https://openalex.org/F4320321570","funder_display_name":"China National Petroleum Corporation"},{"id":"https://openalex.org/G487411977","display_name":"\u9762\u5411\u6df1\u5c42\u5ca9\u6027\u6cb9\u6c14\u85cf\u7684\u9ecf\u5f39\u6027\u53c2\u6570\u53cd\u6f14\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42074133","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/F4320321570","display_name":"China National Petroleum Corporation","ror":"https://ror.org/05269d038"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1498924937","https://openalex.org/W1547477044","https://openalex.org/W1593527211","https://openalex.org/W1901129140","https://openalex.org/W1973048907","https://openalex.org/W2000982976","https://openalex.org/W2020205028","https://openalex.org/W2043112821","https://openalex.org/W2076393573","https://openalex.org/W2120390927","https://openalex.org/W2141953966","https://openalex.org/W2146619110","https://openalex.org/W2152582233","https://openalex.org/W2165412225","https://openalex.org/W2177432006","https://openalex.org/W2245188166","https://openalex.org/W2318528603","https://openalex.org/W2344237992","https://openalex.org/W2403089413","https://openalex.org/W2412205031","https://openalex.org/W2468203014","https://openalex.org/W2488314661","https://openalex.org/W2508457857","https://openalex.org/W2517910458","https://openalex.org/W2552311027","https://openalex.org/W2587859039","https://openalex.org/W2612534675","https://openalex.org/W2625057151","https://openalex.org/W2751368657","https://openalex.org/W2763474475","https://openalex.org/W2802726551","https://openalex.org/W2890420857","https://openalex.org/W2899651173","https://openalex.org/W2902519853","https://openalex.org/W2955869164","https://openalex.org/W2965060898","https://openalex.org/W2981028488","https://openalex.org/W2981595546","https://openalex.org/W2995302838","https://openalex.org/W3033557345","https://openalex.org/W3046473778","https://openalex.org/W3095036472","https://openalex.org/W3102755745","https://openalex.org/W3127074460","https://openalex.org/W3131297087","https://openalex.org/W3184393302","https://openalex.org/W3193059835","https://openalex.org/W4200120832","https://openalex.org/W4205599898","https://openalex.org/W4281480335","https://openalex.org/W4281618041","https://openalex.org/W4285176317","https://openalex.org/W4285218818","https://openalex.org/W4293298413","https://openalex.org/W4313175642","https://openalex.org/W4317796359","https://openalex.org/W4366148662","https://openalex.org/W4366377597","https://openalex.org/W4366492979","https://openalex.org/W4378194505","https://openalex.org/W4378194937","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W2513570774","https://openalex.org/W2139368882","https://openalex.org/W4214691059","https://openalex.org/W3108403339","https://openalex.org/W4287867034","https://openalex.org/W3005783148"],"abstract_inverted_index":{"Suppressing":[0],"random":[1,218],"noise":[2,219],"and":[3,58,103,121,125,172,198,205,221],"improving":[4],"the":[5,22,27,35,50,64,99,118,139,143,153,165,168,175,180,184,194,200,210],"signal-to-noise":[6],"ratio":[7],"of":[8,12,21,52,70,167,183],"seismic":[9],"data":[10,207],"are":[11],"great":[13],"significance":[14],"for":[15,40,127,148],"subsequent":[16],"high-precision":[17],"processing.":[18,42],"As":[19,43],"one":[20],"most":[23],"popular":[24],"denoising":[25,41,84,93,149,154,196,212],"methods,":[26],"algorithms":[28],"based":[29,86,95],"on":[30,87,96,117,203],"deep":[31],"learning":[32],"usually":[33,48],"utilize":[34],"network\u2019s":[36],"poor":[37],"generalization":[38,146],"ability":[39,147],"a":[44,83,91,104,157],"result,":[45],"such":[46],"methods":[47,197],"face":[49],"problem":[51],"high":[53,59],"training":[54,101,109,124,176],"set":[55],"construction":[56],"costs":[57],"computational":[60],"costs.":[61],"In":[62,160],"addition,":[63,161],"widely":[65],"used":[66],"network":[67,106,185],"UNet\u2019s":[68],"processing":[69,78,126,170],"multiscale":[71],"features":[72,188],"is":[73,223],"limited":[74],"to":[75,113,156,187],"its":[76],"U-shaped":[77,169],"path.":[79],"Therefore,":[80],"we":[81],"proposed":[82,211],"method":[85,110,144,213],"unsupervised":[88],"learning,":[89],"including":[90],"new":[92,105],"strategy":[94],"spatial":[97],"correlation,":[98],"corresponding":[100],"method,":[102],"M-ResUNet.":[107],"The":[108],"allows":[111],"networks":[112],"be":[114],"trained":[115],"directly":[116],"test":[119,202],"area":[120],"conducts":[122],"independent":[123],"subtest":[128],"areas":[129],"with":[130,189,193],"different":[131,190],"geological":[132],"characteristics.":[133],"This":[134],"not":[135],"only":[136],"effectively":[137,173],"solves":[138],"problems":[140],"caused":[141],"by":[142,178],"using":[145],"but":[150],"also":[151],"improves":[152,174],"accuracy":[155],"certain":[158],"extent.":[159],"M-ResUNet":[162,222],"breaks":[163],"through":[164],"limitation":[166],"path":[171],"effect":[177],"controlling":[179],"bias":[181],"degree":[182],"output":[186],"scales.":[191],"Compared":[192],"traditional":[195],"networks,":[199],"results\u2019":[201],"synthetic":[204],"field":[206],"indicates":[208],"that":[209],"has":[214],"superior":[215],"performance":[216],"in":[217],"attenuation,":[220],"effective.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
