{"id":"https://openalex.org/W4366148662","doi":"https://doi.org/10.1109/tgrs.2023.3267037","title":"Simultaneous Seismic Data Denoising and Reconstruction With Attention-Based Wavelet-Convolutional Neural Network","display_name":"Simultaneous Seismic Data Denoising and Reconstruction With Attention-Based Wavelet-Convolutional Neural Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366148662","doi":"https://doi.org/10.1109/tgrs.2023.3267037"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3267037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3267037","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/A5047420983","display_name":"Vineela Chandra Dodda","orcid":"https://orcid.org/0000-0001-7324-2949"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vineela Chandra Dodda","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SRM University, Amaravathi, India","Department of Electronics and Communication Engineering, SRM University, Amaravathi, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0001-7324-2949","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SRM University, Amaravathi, India","institution_ids":["https://openalex.org/I4210131147"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SRM University, Amaravathi, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085213766","display_name":"Lakshmi Kuruguntla","orcid":"https://orcid.org/0000-0003-4358-0546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lakshmi Kuruguntla","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India","Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, Mylavaram, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0003-4358-0546","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, Mylavaram, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042054881","display_name":"Anup Kumar Mandpura","orcid":"https://orcid.org/0000-0002-8909-5063"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anup Kumar Mandpura","raw_affiliation_strings":["Department of Electrical Engineering, Delhi Technological University, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-8909-5063","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084625557","display_name":"Karthikeyan Elumalai","orcid":"https://orcid.org/0000-0001-7481-7791"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthikeyan Elumalai","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SRM University, Amaravathi, India"],"raw_orcid":"https://orcid.org/0000-0001-7481-7791","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SRM University, Amaravathi, India","institution_ids":["https://openalex.org/I4210131147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047420983"],"corresponding_institution_ids":["https://openalex.org/I4210131147"],"apc_list":null,"apc_paid":null,"fwci":7.9469,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98531594,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"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":0.9975000023841858,"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":0.9972000122070312,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6725696921348572},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6352635622024536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6346054077148438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5828667283058167},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5432007312774658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5066397786140442},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47810834646224976},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44755226373672485}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6725696921348572},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6352635622024536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6346054077148438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5828667283058167},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5432007312774658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066397786140442},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47810834646224976},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44755226373672485},{"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.2023.3267037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3267037","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/G8895515549","display_name":null,"funder_award_id":"CRG/2019/001234","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1498924937","https://openalex.org/W1829774568","https://openalex.org/W1901129140","https://openalex.org/W1967009226","https://openalex.org/W1973540739","https://openalex.org/W1981607562","https://openalex.org/W1990498189","https://openalex.org/W2015552522","https://openalex.org/W2097935747","https://openalex.org/W2136574244","https://openalex.org/W2137832649","https://openalex.org/W2141423041","https://openalex.org/W2141953966","https://openalex.org/W2157556196","https://openalex.org/W2259014849","https://openalex.org/W2468203014","https://openalex.org/W2593678390","https://openalex.org/W2605232094","https://openalex.org/W2702787849","https://openalex.org/W2783855835","https://openalex.org/W2785994986","https://openalex.org/W2791378034","https://openalex.org/W2802340267","https://openalex.org/W2891749414","https://openalex.org/W2894683830","https://openalex.org/W2963111219","https://openalex.org/W2967394486","https://openalex.org/W2970155362","https://openalex.org/W2970679026","https://openalex.org/W3007658705","https://openalex.org/W3032305282","https://openalex.org/W3033557345","https://openalex.org/W3045320078","https://openalex.org/W3087374394","https://openalex.org/W3090377106","https://openalex.org/W3095311070","https://openalex.org/W3105798281","https://openalex.org/W3140751667","https://openalex.org/W3140854437","https://openalex.org/W3161175789","https://openalex.org/W3173499146","https://openalex.org/W3175147126","https://openalex.org/W3196434791","https://openalex.org/W3196537161","https://openalex.org/W3198159016","https://openalex.org/W3203590351","https://openalex.org/W3212386989","https://openalex.org/W4206777453","https://openalex.org/W4210741197","https://openalex.org/W4213190624","https://openalex.org/W4220742635","https://openalex.org/W4225577961","https://openalex.org/W4285218818","https://openalex.org/W4285262780","https://openalex.org/W4285722492","https://openalex.org/W4288064573","https://openalex.org/W4296211525","https://openalex.org/W4302028744","https://openalex.org/W4307134566","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6748053814"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2077021924","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"The":[0,79,100,173],"knowledge":[1],"of":[2,15,35,66,144,151,162],"hidden":[3],"resources":[4],"present":[5],"inside":[6],"the":[7,13,20,36,67,117,138,142,148,160,197],"earth":[8,37],"layers":[9,95],"is":[10,24,82,91,103,155],"vital":[11],"for":[12,60,93,108],"exploration":[14],"petroleum":[16],"and":[17,26,52,64,87,135,169,189],"hydrocarbons.":[18],"However,":[19],"recorded":[21],"seismic":[22,44,69,139],"data":[23,45,70,168,171],"noisy":[25],"incomplete":[27,68],"with":[28,46,71,112],"missing":[29,54],"traces":[30],"that":[31,177],"leads":[32],"to":[33,96,105,116,125,133,196],"misinterpretation":[34],"layers.":[38],"In":[39,121],"this":[40],"manuscript,":[41],"we":[42,123,158],"consider":[43],"Gaussian,":[47],"non-Gaussian":[48],"noise":[49,62],"distribution,":[50],"regular":[51],"irregular":[53],"traces.":[55],"We":[56],"propose":[57,124],"a":[58],"method":[59,164,182],"simultaneous":[61],"attenuation":[63],"reconstruction":[65],"attention":[72,101],"based":[73],"wavelet":[74,80,89],"convolutional":[75,152],"neural":[76,153],"network":[77],"(AWUN).":[78],"transform":[81,90],"used":[83,92,104],"as":[84],"pooling":[85],"layer":[86],"inverse":[88],"upsampling":[94],"avoid":[97],"information":[98],"loss.":[99],"module":[102],"obtain":[106],"weights":[107,114],"various":[109,145],"feature":[110],"channels":[111],"higher":[113],"assigned":[115],"more":[118],"significant":[119],"information.":[120],"addition,":[122],"use":[126],"hybrid":[127],"loss":[128],"function":[129],"(logcosh":[130],"+":[131],"huberloss)":[132],"denoise":[134],"accurately":[136],"reconstruct":[137],"data.":[140],"Moreover,":[141],"effect":[143],"hyper-parameters":[146],"in":[147],"training":[149],"process":[150],"networks":[154],"studied.":[156],"Further,":[157],"tested":[159],"performance":[161],"proposed":[163,179],"on":[165],"synthetically":[166],"generated":[167],"field":[170],"examples.":[172],"quantitative":[174],"results":[175],"demonstrated":[176],"our":[178],"deep":[180],"learning":[181],"has":[183],"shown":[184],"improved":[185],"signal-to-noise":[186],"ratio":[187],"(SNR)":[188],"mean":[190],"squared":[191],"error":[192],"(MSE)":[193],"when":[194],"compared":[195],"existing":[198],"state-of-the-art":[199],"methods.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}