{"id":"https://openalex.org/W2897137065","doi":"https://doi.org/10.1109/tgrs.2018.2872416","title":"Hybrid-Sparsity Constrained Dictionary Learning for Iterative Deblending of Extremely Noisy Simultaneous-Source Data","display_name":"Hybrid-Sparsity Constrained Dictionary Learning for Iterative Deblending of Extremely Noisy Simultaneous-Source Data","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2897137065","doi":"https://doi.org/10.1109/tgrs.2018.2872416","mag":"2897137065"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2872416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2872416","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/A5048011866","display_name":"Shaohuan Zu","orcid":"https://orcid.org/0000-0003-0153-1746"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohuan Zu","raw_affiliation_strings":["CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0153-1746","affiliations":[{"raw_affiliation_string":"CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086807681","display_name":"Hui Zhou","orcid":"https://orcid.org/0000-0002-0166-0073"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0166-0073","affiliations":[{"raw_affiliation_string":"CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008311270","display_name":"Ru\u2010Shan Wu","orcid":"https://orcid.org/0000-0001-9188-4953"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rushan Wu","raw_affiliation_strings":["Modeling and Imaging Laboratory, Earth and Planetary Sciences, University of California at Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9188-4953","affiliations":[{"raw_affiliation_string":"Modeling and Imaging Laboratory, Earth and Planetary Sciences, University of California at Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050539312","display_name":"Weijian Mao","orcid":"https://orcid.org/0000-0002-3629-6179"},"institutions":[{"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/I4391767648","display_name":"State Key Laboratory of Geodesy and Earth's Dynamics","ror":"https://ror.org/051yfbn24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4391767648","https://openalex.org/I4405261497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Mao","raw_affiliation_strings":["Chinese Academy of Geosciences, Institute of Geodesy and Geophysics, Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth\u2019s Dynamics, Wuhan, China","Chinese Academy of Geosciences, Institute of Geodesy and Geophysics, Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth's Dynamics, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3629-6179","affiliations":[{"raw_affiliation_string":"Chinese Academy of Geosciences, Institute of Geodesy and Geophysics, Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth\u2019s Dynamics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I4391767648"]},{"raw_affiliation_string":"Chinese Academy of Geosciences, Institute of Geodesy and Geophysics, Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth's Dynamics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I4391767648"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yangkang Chen","orcid":"https://orcid.org/0000-0001-9843-3995"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangkang Chen","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9843-3995","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":7.6238,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98747483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"57","issue":"4","first_page":"2249","last_page":"2262"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9979000091552734,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365170121192932},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6365271806716919},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5602096319198608},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5412925481796265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43947669863700867},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42876753211021423},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42345964908599854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17700833082199097},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09585356712341309},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06843441724777222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365170121192932},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6365271806716919},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5602096319198608},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5412925481796265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43947669863700867},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42876753211021423},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42345964908599854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17700833082199097},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09585356712341309},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06843441724777222},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2872416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2872416","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/G2595009252","display_name":null,"funder_award_id":"U1562110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3586018515","display_name":null,"funder_award_id":"(2016A-3304","funder_id":"https://openalex.org/F4320321570","funder_display_name":"China National Petroleum Corporation"},{"id":"https://openalex.org/G6039580507","display_name":null,"funder_award_id":"2017D-5006016","funder_id":"https://openalex.org/F4320321570","funder_display_name":"China National Petroleum Corporation"},{"id":"https://openalex.org/G8678408366","display_name":"\u53d8\u5206\u6570\u9636\u62c9\u666e\u62c9\u65af\u7b97\u5b50\u7c98\u6ede\u58f0\u6ce2\u65b9\u7a0b\u6b63\u6f14\u3001\u9006\u65f6\u504f\u79fb\u548c\u5168\u6ce2\u5f62\u53cd\u6f14\u7814\u7a76","funder_award_id":"41630314","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1480946932","https://openalex.org/W1503474797","https://openalex.org/W1525394424","https://openalex.org/W1528703258","https://openalex.org/W1822012234","https://openalex.org/W1901419420","https://openalex.org/W1973540739","https://openalex.org/W1976488156","https://openalex.org/W1981210220","https://openalex.org/W2008983932","https://openalex.org/W2013913026","https://openalex.org/W2016572604","https://openalex.org/W2021302824","https://openalex.org/W2042040926","https://openalex.org/W2051585713","https://openalex.org/W2055358802","https://openalex.org/W2066682713","https://openalex.org/W2067681708","https://openalex.org/W2069912449","https://openalex.org/W2079556846","https://openalex.org/W2097323375","https://openalex.org/W2099321050","https://openalex.org/W2103399609","https://openalex.org/W2104920672","https://openalex.org/W2111333160","https://openalex.org/W2111691946","https://openalex.org/W2115429828","https://openalex.org/W2115528090","https://openalex.org/W2115549875","https://openalex.org/W2115706991","https://openalex.org/W2126720920","https://openalex.org/W2128728535","https://openalex.org/W2133015712","https://openalex.org/W2135554828","https://openalex.org/W2140856955","https://openalex.org/W2148502869","https://openalex.org/W2151169043","https://openalex.org/W2160547390","https://openalex.org/W2169983928","https://openalex.org/W2171584283","https://openalex.org/W2177347332","https://openalex.org/W2216762059","https://openalex.org/W2217442075","https://openalex.org/W2249210872","https://openalex.org/W2259014849","https://openalex.org/W2296616510","https://openalex.org/W2312387795","https://openalex.org/W2323462082","https://openalex.org/W2327003257","https://openalex.org/W2332980589","https://openalex.org/W2474759111","https://openalex.org/W2502730268","https://openalex.org/W2541764002","https://openalex.org/W2579302569","https://openalex.org/W2589711447","https://openalex.org/W2593678390","https://openalex.org/W2609386560","https://openalex.org/W2685814263","https://openalex.org/W2702787849","https://openalex.org/W2741984561","https://openalex.org/W2745251744","https://openalex.org/W2766447205","https://openalex.org/W2774094138","https://openalex.org/W2963322354","https://openalex.org/W3099514962","https://openalex.org/W3105798281","https://openalex.org/W4213310132","https://openalex.org/W4250955649","https://openalex.org/W4251405722","https://openalex.org/W6631335611","https://openalex.org/W6677446445","https://openalex.org/W6698762887","https://openalex.org/W6702782249"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"Simultaneous-source":[0],"acquisition,":[1,8],"breaking":[2],"the":[3,35,55,60,63,82,91,95,105,119,123,130,149,159,168,179,182,194,199,203,208],"limit":[4],"of":[5,29,46,54,181,198],"conventional":[6],"seismic":[7],"is":[9,52,98,101,127,163],"a":[10,40,44,113],"rapidly":[11],"evolving":[12],"research":[13],"field,":[14],"due":[15],"to":[16,59,103,133,165,177],"its":[17],"advantage":[18,180],"in":[19,75,185],"reducing":[20],"survey":[21],"time":[22],"and":[23,88,154,170,211],"improving":[24],"data":[25,206],"quality.":[26],"The":[27,141],"benefits":[28],"simultaneous-source":[30,205],"acquisition":[31],"are":[32,66],"compromised":[33],"by":[34,69],"intense":[36],"blending":[37],"interference.":[38,107,171],"Separating":[39],"blended":[41,64,92],"record":[42],"into":[43,122,152],"group":[45],"individual":[47],"records,":[48],"known":[49],"as":[50],"\u201cdeblending\u201d":[51],"one":[53],"most":[56],"popular":[57],"solution":[58],"problem.":[61],"However,":[62],"records":[65],"often":[67],"corrupted":[68],"random":[70,96,156],"noise,":[71],"which":[72],"causes":[73],"difficulties":[74],"separation.":[76],"In":[77,108],"an":[78],"iterative":[79],"deblending":[80,124,196],"algorithm,":[81],"incoherent":[83,106,150],"interference":[84,151],"can":[85,147],"be":[86],"simulated":[87],"subtracted":[89],"from":[90],"record.":[93],"When":[94],"noise":[97],"strong,":[99],"it":[100],"difficult":[102],"simulate":[104],"this":[109],"paper,":[110],"we":[111],"propose":[112],"hybrid-sparsity":[114],"constraint":[115],"model":[116],"that":[117,126],"applies":[118],"dictionary":[120,142],"learning":[121,143],"framework":[125,162],"based":[128],"on":[129],"sparsity-promoting":[131],"transform":[132],"deal":[134],"with":[135,144],"extremely":[136,186],"noisy":[137,187,204],"simultaneous":[138],"source":[139],"data.":[140],"fine-tuned":[145],"adaptation":[146],"learn":[148],"atoms":[153],"reject":[155],"noise.":[157],"Then,":[158],"sparse":[160],"transform-based":[161,210],"implemented":[164],"iteratively":[166],"separate":[167],"signal":[169],"We":[172],"use":[173],"two":[174],"synthetic":[175],"examples":[176,191],"demonstrate":[178],"proposed":[183,200],"method":[184,201],"situations.":[188],"Two":[189],"field":[190],"further":[192],"confirm":[193],"superior":[195],"performance":[197],"for":[202],"over":[207],"curvelet":[209],"rank":[212],"reduction-based":[213],"methods.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}