{"id":"https://openalex.org/W3128444015","doi":"https://doi.org/10.1109/tgrs.2021.3054071","title":"Automated Event Detection and Denoising Method for Passive Seismic Data Using Residual Deep Convolutional Neural Networks","display_name":"Automated Event Detection and Denoising Method for Passive Seismic Data Using Residual Deep Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-02-09","ids":{"openalex":"https://openalex.org/W3128444015","doi":"https://doi.org/10.1109/tgrs.2021.3054071","mag":"3128444015"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3054071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3054071","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/A5058927114","display_name":"Abdullah Othman","orcid":"https://orcid.org/0000-0002-0017-9325"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Othman","raw_affiliation_strings":["Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-0017-9325","affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]},{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056812780","display_name":"Naveed Iqbal","orcid":"https://orcid.org/0000-0002-2633-9761"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Naveed Iqbal","raw_affiliation_strings":["Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-2633-9761","affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]},{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077467560","display_name":"Sherif M. Hanafy","orcid":"https://orcid.org/0000-0003-4568-2941"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sherif M. Hanafy","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-4568-2941","affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082388493","display_name":"Umair bin Waheed","orcid":"https://orcid.org/0000-0002-5189-0694"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Umair Bin Waheed","raw_affiliation_strings":["Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]},{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8291,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98555301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"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/T11757","display_name":"Seismic Waves and Analysis","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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7731542587280273},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6406913995742798},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6396740674972534},{"id":"https://openalex.org/keywords/passive-seismic","display_name":"Passive seismic","score":0.6296794414520264},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5938001871109009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5517659783363342},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5170386433601379},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5061833262443542},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4731358587741852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4466448426246643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4092284142971039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2729916572570801},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1734047532081604},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.15607473254203796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12010714411735535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731542587280273},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6406913995742798},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6396740674972534},{"id":"https://openalex.org/C2780942248","wikidata":"https://www.wikidata.org/wiki/Q1048443","display_name":"Passive seismic","level":2,"score":0.6296794414520264},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5938001871109009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5517659783363342},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5170386433601379},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5061833262443542},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4731358587741852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4466448426246643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4092284142971039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2729916572570801},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1734047532081604},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.15607473254203796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12010714411735535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3054071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3054071","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514036343","https://openalex.org/W1532214277","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1695352019","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1970252221","https://openalex.org/W1977608649","https://openalex.org/W1981034034","https://openalex.org/W1999322057","https://openalex.org/W2000363768","https://openalex.org/W2004689702","https://openalex.org/W2012099328","https://openalex.org/W2018906199","https://openalex.org/W2022006455","https://openalex.org/W2031454541","https://openalex.org/W2037580812","https://openalex.org/W2044395496","https://openalex.org/W2065126285","https://openalex.org/W2071870076","https://openalex.org/W2097117768","https://openalex.org/W2097514590","https://openalex.org/W2102919512","https://openalex.org/W2107878631","https://openalex.org/W2113131123","https://openalex.org/W2120233755","https://openalex.org/W2131006763","https://openalex.org/W2133016812","https://openalex.org/W2139713088","https://openalex.org/W2163605009","https://openalex.org/W2166670247","https://openalex.org/W2186316592","https://openalex.org/W2194775991","https://openalex.org/W2213782813","https://openalex.org/W2306039239","https://openalex.org/W2318164003","https://openalex.org/W2324936197","https://openalex.org/W2344466249","https://openalex.org/W2412205031","https://openalex.org/W2416739439","https://openalex.org/W2460847425","https://openalex.org/W2514087538","https://openalex.org/W2555981623","https://openalex.org/W2602807606","https://openalex.org/W2781891981","https://openalex.org/W2786985122","https://openalex.org/W2798828763","https://openalex.org/W2891299419","https://openalex.org/W2891520470","https://openalex.org/W2895546528","https://openalex.org/W2899651173","https://openalex.org/W2908856853","https://openalex.org/W2912548023","https://openalex.org/W2963108767","https://openalex.org/W2980395728","https://openalex.org/W2996203171","https://openalex.org/W3004430030","https://openalex.org/W3010357916","https://openalex.org/W3019893222","https://openalex.org/W3027129935","https://openalex.org/W3102755745","https://openalex.org/W3102794316","https://openalex.org/W3105613629","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2236195195","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,74,84,89,109],"recent":[4],"rise":[5],"in":[6,28,58,175,184,202,226,231],"the":[7,25,48,59,69,114,136,151,157,169,176,210],"uses":[8],"and":[9,21,64,96,138,186,206,213,230],"applications":[10,31],"of":[11,42,61,116,135,146,150,222],"passive":[12,29,100,191],"seismic":[13,30,101,166,192,198],"data,":[14],"such":[15,43],"as":[16],"tomographic":[17],"imaging,":[18],"volcanic":[19],"monitoring,":[20],"hydrocarbon":[22],"exploration.":[23],"Consequently,":[24],"sharp":[26],"increase":[27],"requires":[32],"real-time":[33],"event":[34],"detection":[35,105,153,212,217],"capabilities":[36],"with":[37,68,143],"high":[38,182],"accuracy.":[39],"Proper":[40],"analysis":[41],"events":[44,188,224],"depends":[45],"largely":[46],"on":[47,164],"signal-to-noise":[49],"ratio":[50],"improvement":[51],"through":[52],"noise":[53,120],"suppression":[54],"techniques.":[55],"Recent":[56],"advances":[57],"fields":[60],"signal":[62,115],"processing":[63],"deep":[65,91,158],"learning":[66],"coupled":[67],"available":[70],"computational":[71],"resources":[72],"provide":[73],"great":[75],"opportunity":[76],"to":[77,98,112,171,208,235],"address":[78],"this":[79,82],"challenge.":[80],"In":[81,195],"work,":[83],"workflow":[85],"is":[86,94,106,155,161,200],"proposed":[87,127,152],"where":[88],"residual":[90],"neural":[92,159],"network":[93,160],"customized":[95],"employed":[97],"detect":[99],"events.":[102],"The":[103,126,216],"automated":[104],"followed":[107],"by":[108],"denoising":[110,187,214],"step":[111],"extract":[113],"interest":[117],"from":[118,189],"background":[119],"using":[121],"an":[122],"IIR":[123],"Wiener":[124],"filter.":[125],"method":[128,154,218],"does":[129],"not":[130],"require":[131],"any":[132],"prior":[133],"knowledge":[134],"signal/noise,":[137],"therefore,":[139],"it":[140,180],"can":[141],"work":[142],"various":[144],"types":[145],"signals/noises.":[147],"Another":[148],"benefit":[149],"that":[156],"trained":[162],"only":[163],"synthetic":[165],"data":[167,174,193,199,228],"without":[168],"need":[170],"use":[172],"real":[173,190,232],"training":[177],"process.":[178],"Nevertheless,":[179],"exhibits":[181],"accuracy":[183],"detecting":[185,223],"sets.":[194],"particular,":[196],"field":[197],"recorded":[201],"northern":[203],"Saudi":[204],"Arabia":[205],"used":[207],"test":[209],"complete":[211],"method.":[215],"proved":[219],"its":[220],"capability":[221],"automatically":[225],"large":[227],"sets":[229],"time":[233],"(due":[234],"off-line":[236],"training).":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}