{"id":"https://openalex.org/W2620839831","doi":"https://doi.org/10.1109/lgrs.2017.2697942","title":"Simultaneous Denoising and Interpolation of 3-D Seismic Data via Damped Data-Driven Optimal Singular Value Shrinkage","display_name":"Simultaneous Denoising and Interpolation of 3-D Seismic Data via Damped Data-Driven Optimal Singular Value Shrinkage","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2620839831","doi":"https://doi.org/10.1109/lgrs.2017.2697942","mag":"2620839831"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2697942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2697942","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5032240756","display_name":"Mohammad Amir Nazari Siahsar","orcid":"https://orcid.org/0000-0003-0191-3197"},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Amir Nazari Siahsar","raw_affiliation_strings":["Young Researchers and Elite Club, Islamic Azad University, Mashhad Branch, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Young Researchers and Elite Club, Islamic Azad University, Mashhad Branch, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058743259","display_name":"Saman Gholtashi","orcid":"https://orcid.org/0000-0003-2692-9304"},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saman Gholtashi","raw_affiliation_strings":["School of Mining, Petroleum, and Geophyscis Engineering, Shahrood University of Technology, Shahrood, Iran"],"affiliations":[{"raw_affiliation_string":"School of Mining, Petroleum, and Geophyscis Engineering, Shahrood University of Technology, Shahrood, Iran","institution_ids":["https://openalex.org/I176861719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010758264","display_name":"Ehsan Olyaei Torshizi","orcid":"https://orcid.org/0000-0003-0724-0907"},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ehsan Olyaei Torshizi","raw_affiliation_strings":["Young Researchers and Elite Club, Islamic Azad University, Mashhad Branch, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Young Researchers and Elite Club, Islamic Azad University, Mashhad Branch, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042175903","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-4222-964X"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"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/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]},{"id":"https://openalex.org/I4210150320","display_name":"Center of Hubei Cooperative Innovation for Emissions Trading System","ror":"https://ror.org/03nrzqb76","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210150320"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Hubei, China","Key Laboratory of Exploration Technology for Oil and Gas Resources of Ministry of Education, Yangtze University, Wuhan, China","State Key Laboratory of Geodesy and Earth\u2019s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Hubei, China","institution_ids":["https://openalex.org/I4210150320"]},{"raw_affiliation_string":"Key Laboratory of Exploration Technology for Oil and Gas Resources of Ministry of Education, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth\u2019s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019972279","display_name":"Yangkang Chen","orcid":"https://orcid.org/0000-0001-6429-4261"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangkang Chen","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032240756"],"corresponding_institution_ids":["https://openalex.org/I183859904"],"apc_list":null,"apc_paid":null,"fwci":13.8854,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.99574381,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"7","first_page":"1086","last_page":"1090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.8293928503990173},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.6179869174957275},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5556565523147583},{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.5418795347213745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5402519106864929},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4999678134918213},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4923321008682251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48926112055778503},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45807358622550964},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.4399508237838745},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4113768935203552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.400623619556427},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3720194101333618},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3664732575416565},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3643021583557129},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18955844640731812},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1822037398815155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1744796335697174},{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.13743701577186584},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1112007200717926}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.8293928503990173},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.6179869174957275},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5556565523147583},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.5418795347213745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5402519106864929},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4999678134918213},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4923321008682251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48926112055778503},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45807358622550964},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.4399508237838745},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4113768935203552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.400623619556427},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3720194101333618},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3664732575416565},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3643021583557129},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18955844640731812},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1822037398815155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1744796335697174},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.13743701577186584},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1112007200717926},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2697942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2697942","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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":20,"referenced_works":["https://openalex.org/W1498924937","https://openalex.org/W1829774568","https://openalex.org/W2017304912","https://openalex.org/W2106295515","https://openalex.org/W2137832649","https://openalex.org/W2141953966","https://openalex.org/W2169165793","https://openalex.org/W2245188166","https://openalex.org/W2280613569","https://openalex.org/W2315051830","https://openalex.org/W2403089413","https://openalex.org/W2468203014","https://openalex.org/W2476695889","https://openalex.org/W2556875598","https://openalex.org/W2566845625","https://openalex.org/W2569021273","https://openalex.org/W2608562242","https://openalex.org/W2745251744","https://openalex.org/W3100639561","https://openalex.org/W6629652810"],"related_works":["https://openalex.org/W4319586039","https://openalex.org/W4382583540","https://openalex.org/W1607100495","https://openalex.org/W1990844505","https://openalex.org/W2148568324","https://openalex.org/W4386721910","https://openalex.org/W2038393145","https://openalex.org/W2147072251","https://openalex.org/W4094001","https://openalex.org/W2163255469"],"abstract_inverted_index":{"Multichannel":[0],"singular":[1,37,42,107],"spectrum":[2],"analysis":[3],"(MSSA)":[4],"is":[5,23,118],"an":[6],"effective":[7],"tool":[8],"for":[9,50],"processing":[10],"multidimensional":[11],"time-series":[12],"such":[13],"as":[14,84],"the":[15,33,73,106,133,138],"reconstruction":[16,135],"of":[17,137],"high-dimensional":[18],"seismic":[19,125],"data.":[20,126],"Low-rank":[21],"estimation":[22,93],"a":[24,110],"key":[25],"stage":[26],"in":[27,58,62,94,141],"MSSA":[28],"algorithm":[29],"that":[30,77],"can":[31,88],"affect":[32],"recovery":[34],"process.":[35],"Truncated":[36],"value":[38,43],"decomposition":[39],"(TSVD)":[40],"and":[41,98,122,130],"thresholding":[44],"(SVT)":[45],"are":[46],"two":[47],"conventional":[48],"options":[49],"rank":[51],"reduction,":[52],"which,":[53],"however,":[54],"do":[55],"not":[56],"result":[57],"satisfactory":[59],"outcomes,":[60],"especially":[61],"low":[63],"signal-to-noise-ratio":[64],"cases.":[65],"In":[66,100],"this":[67],"letter,":[68],"we":[69,102],"propose":[70,103],"to":[71,104],"leverage":[72],"optimal":[74],"low-rank":[75,92],"estimator":[76],"emerges":[78],"from":[79],"random":[80],"matrix":[81],"theory":[82],"known":[83],"OptShrink.":[85],"The":[86,113,127],"OptShrink":[87,116],"obtain":[89],"more":[90],"robust":[91],"comparison":[95,142],"with":[96,143],"TSVD":[97],"SVT.":[99],"addition,":[101],"constrain":[105],"values":[108],"using":[109],"damping":[111],"factor.":[112],"proposed":[114,139],"damped":[115],"method":[117,140],"applied":[119],"on":[120],"real":[121],"synthetic":[123],"3-D":[124],"comprehensive":[128],"experiments":[129],"discussion":[131],"verify":[132],"superior":[134],"ability":[136],"MSSA.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":10}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}