{"id":"https://openalex.org/W3184393302","doi":"https://doi.org/10.1109/tgrs.2021.3095922","title":"Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network","display_name":"Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3184393302","doi":"https://doi.org/10.1109/tgrs.2021.3095922","mag":"3184393302"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3095922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3095922","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/A5070699308","display_name":"Tie Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tie Zhong","raw_affiliation_strings":["Department of Communication Engineering, College of Electric Engineering, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, College of Electric Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062363830","display_name":"Ming Cheng","orcid":"https://orcid.org/0000-0002-4859-2004"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Cheng","raw_affiliation_strings":["Department of Communication Engineering, College of Electric Engineering, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, College of Electric Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087029680","display_name":"Xintong Dong","orcid":"https://orcid.org/0000-0001-6657-6289"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintong Dong","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045411027","display_name":"Ning Wu","orcid":"https://orcid.org/0000-0002-1899-2648"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wu","raw_affiliation_strings":["Department of Information, College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Information, College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070699308"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":null,"apc_paid":null,"fwci":6.0207,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97598879,"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":"13"},"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":0.996999979019165,"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382279634475708},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6990798711776733},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5590194463729858},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5528002381324768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47841793298721313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47388356924057007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382279634475708},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6990798711776733},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5590194463729858},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5528002381324768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47841793298721313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47388356924057007},{"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.2021.3095922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3095922","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":[{"display_name":"Reduced inequalities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7090382193","display_name":null,"funder_award_id":"JJKH20210094KJ","funder_id":"https://openalex.org/F4320326270","funder_display_name":"Education Department of Jilin Province"},{"id":"https://openalex.org/G8396673927","display_name":null,"funder_award_id":"BX2021111","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"}],"funders":[{"id":"https://openalex.org/F4320326270","display_name":"Education Department of Jilin Province","ror":"https://ror.org/05782e512"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1547477044","https://openalex.org/W1566955677","https://openalex.org/W1901129140","https://openalex.org/W1969313263","https://openalex.org/W1970840033","https://openalex.org/W1990309165","https://openalex.org/W2020205028","https://openalex.org/W2028944381","https://openalex.org/W2054198069","https://openalex.org/W2076393573","https://openalex.org/W2095101243","https://openalex.org/W2098352720","https://openalex.org/W2126369440","https://openalex.org/W2129657353","https://openalex.org/W2132454757","https://openalex.org/W2141953966","https://openalex.org/W2152582233","https://openalex.org/W2201404541","https://openalex.org/W2282024151","https://openalex.org/W2294674895","https://openalex.org/W2318528603","https://openalex.org/W2412205031","https://openalex.org/W2508457857","https://openalex.org/W2555800441","https://openalex.org/W2587859039","https://openalex.org/W2593678390","https://openalex.org/W2600297185","https://openalex.org/W2612252966","https://openalex.org/W2744272590","https://openalex.org/W2744992965","https://openalex.org/W2763474475","https://openalex.org/W2774320778","https://openalex.org/W2790343186","https://openalex.org/W2804946574","https://openalex.org/W2899651173","https://openalex.org/W2902519853","https://openalex.org/W2912065192","https://openalex.org/W2912069721","https://openalex.org/W2940419603","https://openalex.org/W2946785025","https://openalex.org/W2958903376","https://openalex.org/W2962935103","https://openalex.org/W2963008249","https://openalex.org/W2963931909","https://openalex.org/W2964125708","https://openalex.org/W2970715218","https://openalex.org/W2990939478","https://openalex.org/W3003534375","https://openalex.org/W3005474703","https://openalex.org/W3042090478","https://openalex.org/W3046473778","https://openalex.org/W3082946267","https://openalex.org/W3095036472","https://openalex.org/W3098011980","https://openalex.org/W3102755745","https://openalex.org/W3105798281","https://openalex.org/W4252593548","https://openalex.org/W6726381175","https://openalex.org/W6754890065"],"related_works":["https://openalex.org/W2748454020","https://openalex.org/W3119610945","https://openalex.org/W3181746755","https://openalex.org/W3016958897","https://openalex.org/W4283379348","https://openalex.org/W4312417841","https://openalex.org/W2767651786","https://openalex.org/W2912288872","https://openalex.org/W564581980","https://openalex.org/W2092619848"],"abstract_inverted_index":{"Seismic":[0],"prospecting":[1],"is":[2,143],"a":[3,99,129,138,157],"common":[4],"method":[5],"used":[6],"in":[7,25,55,120],"oil":[8],"and":[9,43,77,98,167,170,199,213],"gas":[10],"resource":[11],"exploration.":[12],"However,":[13],"due":[14],"to":[15,57,92],"the":[16,26,40,68,94,178,184,204,210],"limitations":[17],"of":[18,101,161],"current":[19],"collection":[20],"techniques,":[21],"seismic":[22,69,126],"records":[23,127],"acquired":[24],"field":[27,200],"are":[28,64],"typically":[29],"contaminated":[30],"by":[31],"severe":[32],"incoherent":[33],"noise,":[34,97],"which":[35],"has":[36,156],"negative":[37],"implications":[38],"for":[39,67,148],"subsequent":[41],"processing":[42,185],"interpretation":[44],"procedures.":[45],"In":[46,80],"addition,":[47],"numerous":[48],"traditional":[49],"denoising":[50,84,109],"algorithms":[51],"have":[52,89,104],"been":[53,90,105],"applied":[54,91],"order":[56],"mitigate":[58],"this":[59,136],"problem,":[60,137],"but":[61],"further":[62],"improvements":[63],"required,":[65],"especially":[66],"data":[70,113,201],"with":[71,125,128,189],"spectral":[72],"overlapping":[73],"between":[74],"effective":[75,174],"signals":[76],"background":[78],"noise.":[79],"recent":[81],"years,":[82],"feedforward":[83],"convolutional":[85],"neural":[86],"networks":[87,110],"(DnCNNs)":[88],"suppress":[93,209],"complex":[95],"random":[96,149,211],"series":[100],"essential":[102],"insights":[103],"gained.":[106],"Nonetheless,":[107],"conventional":[108,153],"always":[111],"extract":[112],"features":[114,163,172],"depending":[115],"on":[116],"single-scale":[117],"information,":[118],"resulting":[119],"impaired":[121],"performance":[122],"when":[123,187],"coping":[124],"low":[130,220],"signal-to-noise":[131],"ratio":[132],"(SNR).":[133],"For":[134],"solving":[135],"novel":[139],"multiscale":[140],"DnCNN":[141],"(MSDCNN)":[142],"developed":[144],"as":[145],"an":[146],"attempt":[147],"noise":[150,212],"suppression.":[151],"Unlike":[152],"DnCNN,":[154],"MSDCNN":[155],"hierarchical":[158],"structure":[159],"capable":[160],"extracting":[162],"at":[164],"different":[165],"scales":[166],"capturing":[168],"informative":[169],"discriminatory":[171],"through":[173],"information":[175],"integration.":[176],"Meanwhile,":[177],"cross-scale":[179],"feature":[180],"interaction":[181],"also":[182],"increases":[183],"accuracy":[186],"confronted":[188],"weak":[190],"reflection":[191,216],"events.":[192],"Experimental":[193],"results":[194],"derived":[195],"from":[196],"both":[197],"synthetic":[198],"indicate":[202],"that":[203],"proposed":[205],"network":[206],"can":[207],"effectively":[208],"accurately":[214],"preserve":[215],"events,":[217],"even":[218],"under":[219],"SNR":[221],"conditions.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
