{"id":"https://openalex.org/W4396605250","doi":"https://doi.org/10.1109/tgrs.2024.3396459","title":"Seismic Data Denoising Using a New Framework of FABEMD-Based Dictionary Learning","display_name":"Seismic Data Denoising Using a New Framework of FABEMD-Based Dictionary Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396605250","doi":"https://doi.org/10.1109/tgrs.2024.3396459"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3396459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3396459","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/A5055515488","display_name":"Weiqi Wang","orcid":"https://orcid.org/0000-0002-5509-0432"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiqi Wang","raw_affiliation_strings":["National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067277801","display_name":"Jidong Yang","orcid":"https://orcid.org/0000-0002-6652-5366"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Yang","raw_affiliation_strings":["National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121295","display_name":"Zhenchun Li","orcid":"https://orcid.org/0000-0001-7170-7538"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchun Li","raw_affiliation_strings":["National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046420497","display_name":"Jianping Huang","orcid":"https://orcid.org/0000-0003-0699-9911"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Huang","raw_affiliation_strings":["National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114246533","display_name":"Chong Zhao","orcid":"https://orcid.org/0009-0009-5910-9944"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Zhao","raw_affiliation_strings":["National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055515488"],"corresponding_institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":1.7327,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80776788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.741107702255249},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7088181972503662},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6948883533477783},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6187574863433838},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5977278351783752},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5358568429946899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4812471568584442},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.466727614402771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46175503730773926},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4134572744369507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4108511507511139},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13177010416984558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1309211552143097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741107702255249},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7088181972503662},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6948883533477783},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6187574863433838},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5977278351783752},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5358568429946899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4812471568584442},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.466727614402771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46175503730773926},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4134572744369507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4108511507511139},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13177010416984558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1309211552143097},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3396459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3396459","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":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G2997703073","display_name":null,"funder_award_id":"ZX20230152","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1559691760","https://openalex.org/W1941471881","https://openalex.org/W1974102168","https://openalex.org/W1976836781","https://openalex.org/W2007221293","https://openalex.org/W2076393573","https://openalex.org/W2078823427","https://openalex.org/W2082114499","https://openalex.org/W2083493778","https://openalex.org/W2090140798","https://openalex.org/W2109896502","https://openalex.org/W2123046268","https://openalex.org/W2138354688","https://openalex.org/W2167131469","https://openalex.org/W2170044118","https://openalex.org/W2170860899","https://openalex.org/W2282024151","https://openalex.org/W2318387983","https://openalex.org/W2318528603","https://openalex.org/W2326006151","https://openalex.org/W2329945299","https://openalex.org/W2344237992","https://openalex.org/W2510593588","https://openalex.org/W2515883236","https://openalex.org/W2579302569","https://openalex.org/W2744992965","https://openalex.org/W2763474475","https://openalex.org/W2970715218","https://openalex.org/W2971588278","https://openalex.org/W2981937331","https://openalex.org/W3012526397","https://openalex.org/W3013555385","https://openalex.org/W3028111139","https://openalex.org/W3116822623","https://openalex.org/W3126556668","https://openalex.org/W3127321801","https://openalex.org/W3197161007","https://openalex.org/W4252593548","https://openalex.org/W4281618041","https://openalex.org/W4285201903","https://openalex.org/W4380987587","https://openalex.org/W4386090489"],"related_works":["https://openalex.org/W2369564042","https://openalex.org/W2509955295","https://openalex.org/W2126683262","https://openalex.org/W1987225540","https://openalex.org/W2363993830","https://openalex.org/W1778286912","https://openalex.org/W2116933539","https://openalex.org/W2561456314","https://openalex.org/W2249096836","https://openalex.org/W2152958724"],"abstract_inverted_index":{"Land":[0],"seismic":[1,14,97],"data":[2,133],"are":[3],"often":[4],"obscured":[5],"by":[6],"noise,":[7],"severely":[8],"affecting":[9],"the":[10,72,82,116,135,140],"accuracy":[11],"of":[12,74,87,139],"subsequent":[13],"imaging":[15],"and":[16,40,110,124,131,137,156],"interpretation.":[17],"Dictionary":[18],"learning":[19],"(DL)":[20],"is":[21,35,46],"an":[22],"effective":[23],"method":[24,33,59],"for":[25,37,93,113],"noise":[26,45,57,91],"suppression.":[27],"However,":[28],"finding":[29],"a":[30,48,56],"fast":[31,64],"DL":[32,62,158],"that":[34,60],"suitable":[36],"weak":[38],"signals":[39],"can":[41],"suppress":[42],"multi-scale":[43,77],"strong":[44],"still":[47],"hot":[49],"topic.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"introduce":[55],"suppression":[58,92],"combines":[61],"with":[63,81],"adaptive":[65],"empirical":[66],"mode":[67,103],"decomposition":[68],"(FABEMD).":[69],"We":[70,99],"leverage":[71],"advantages":[73],"FABEMD":[75],"in":[76,147],"signal":[78],"decomposition,":[79],"along":[80],"efficient":[83],"sparse":[84],"representation":[85],"capabilities":[86],"DL,":[88],"to":[89,150],"achieve":[90],"low":[94],"signal-to-noise":[95],"ratio":[96],"signals.":[98],"group":[100],"bi-dimensional":[101],"intrinsic":[102],"functions":[104],"based":[105],"on":[106],"their":[107],"cross-correlation":[108],"coefficients":[109],"train":[111],"dictionaries":[112],"components":[114],"using":[115,128],"sequential":[117],"generalization":[118],"K-means":[119],"method,":[120,142],"enhancing":[121],"computational":[122],"efficiency":[123],"adaptability.":[125],"Numerical":[126],"examples":[127],"both":[129],"synthetic":[130],"field":[132],"validate":[134],"practicality":[136],"versatility":[138],"proposed":[141],"indicating":[143],"its":[144],"improved":[145],"performance":[146],"denoising":[148],"compared":[149],"<italic":[151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">f-x</i>":[153],"EMD,":[154],"BEMD,":[155],"traditional":[157],"methods.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
