{"id":"https://openalex.org/W4391092653","doi":"https://doi.org/10.1109/lgrs.2024.3357446","title":"High-Resolution Stacking of Seismic Data With Fast Capon Beamforming","display_name":"High-Resolution Stacking of Seismic Data With Fast Capon Beamforming","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391092653","doi":"https://doi.org/10.1109/lgrs.2024.3357446"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3357446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3357446","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/A5042376090","display_name":"Yujin Liu","orcid":"https://orcid.org/0000-0002-5296-7358"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yujin Liu","raw_affiliation_strings":["Aramco Beijing Research Center, Aramco Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5296-7358","affiliations":[{"raw_affiliation_string":"Aramco Beijing Research Center, Aramco Asia, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101894756","display_name":"Yi Luo","orcid":"https://orcid.org/0000-0001-8740-1912"},"institutions":[{"id":"https://openalex.org/I4210091276","display_name":"Eon Corporation (United States)","ror":"https://ror.org/0195q2562","country_code":"US","type":"company","lineage":["https://openalex.org/I4210091276"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Luo","raw_affiliation_strings":["Seiswave Corporation, Houston, TX, USA","Seiswave corporation, 21922 great creek lane, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seiswave Corporation, Houston, TX, USA","institution_ids":["https://openalex.org/I4210091276"]},{"raw_affiliation_string":"Seiswave corporation, 21922 great creek lane, Houston, TX, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725188","display_name":"Yue Ma","orcid":"https://orcid.org/0000-0001-7989-0920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["Aramco Beijing Research Center, Aramco Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7989-0920","affiliations":[{"raw_affiliation_string":"Aramco Beijing Research Center, Aramco Asia, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411938","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0001-6222-8711"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Liu","raw_affiliation_strings":["China University of Petroleum (East China), Qingdao, China","China University of Petroleum (East China), Qingdao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0852,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8324967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":1.0,"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":1.0,"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":0.9984999895095825,"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":0.9941999912261963,"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/capon","display_name":"Capon","score":0.9959971904754639},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6881469488143921},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.6705918312072754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852321982383728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5616095066070557},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4413066506385803},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15414395928382874},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1236487627029419}],"concepts":[{"id":"https://openalex.org/C2778955098","wikidata":"https://www.wikidata.org/wiki/Q594676","display_name":"Capon","level":3,"score":0.9959971904754639},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6881469488143921},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.6705918312072754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852321982383728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5616095066070557},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4413066506385803},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15414395928382874},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1236487627029419},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3357446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3357446","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1985089872","https://openalex.org/W1987203693","https://openalex.org/W1991265582","https://openalex.org/W1999847436","https://openalex.org/W2004559638","https://openalex.org/W2016132703","https://openalex.org/W2038689352","https://openalex.org/W2050869434","https://openalex.org/W2066218102","https://openalex.org/W2105903026","https://openalex.org/W2135683518","https://openalex.org/W2160114273","https://openalex.org/W2318488787","https://openalex.org/W2332647521","https://openalex.org/W2620739668","https://openalex.org/W3033132078","https://openalex.org/W4252593548"],"related_works":["https://openalex.org/W2071031249","https://openalex.org/W4225083520","https://openalex.org/W2106161482","https://openalex.org/W2126622604","https://openalex.org/W2312490702","https://openalex.org/W2762211313","https://openalex.org/W4381893999","https://openalex.org/W2069366725","https://openalex.org/W4361200219","https://openalex.org/W3191156915"],"abstract_inverted_index":{"Stacking":[0],"plays":[1],"an":[2],"essential":[3],"role":[4],"in":[5,89,100,190],"improving":[6,191],"the":[7,19,66,86,90,101,119,129,136,159,164,168,181,192],"quality":[8],"of":[9,72,118,128,138,158,195],"seismic":[10,47,73,196],"imaging.":[11],"Conventional":[12],"stacking":[13,78,184],"is":[14,108,186],"performed":[15],"by":[16],"simply":[17],"averaging":[18],"traces":[20],"within":[21],"a":[22,31,40,56,81,139,155],"common-midpoint":[23],"(CMP)":[24],"gather":[25,33,88,122],"after":[26,35],"normal-moveout":[27],"(NMO)":[28],"correction":[29],"or":[30,69,123],"common-image-point":[32],"(CIG)":[34],"prestack":[36,87],"migration,":[37],"leading":[38],"to":[39,64,85,93,150],"stacked":[41,74],"trace":[42],"with":[43],"limited":[44],"resolution":[45,71,194],"when":[46],"signals":[48],"are":[49],"not":[50],"perfectly":[51],"aligned.":[52],"This":[53],"paper":[54],"presents":[55],"modified":[57],"Capon":[58,62,77,130,160,183],"beamforming":[59,131,161],"algorithm,":[60],"called":[61],"stacking,":[63],"improve":[65],"vertical":[67,193],"(temporal":[68],"depth)":[70],"images.":[75,197],"The":[76,105,126],"approach":[79],"applies":[80],"data-dependent":[82],"weight":[83,106],"function":[84,107],"lateral":[91],"direction":[92],"filter":[94],"out":[95],"misaligned":[96],"distortions":[97],"and":[98,188],"irregularities":[99],"signal":[102],"before":[103],"stacking.":[104,152],"computed":[109],"separately":[110],"for":[111],"each":[112],"frequency":[113],"component":[114],"using":[115],"statistical":[116],"analysis":[117],"NMO-corrected":[120],"CMP":[121],"migrated":[124],"CIG.":[125],"implementation":[127,157],"method":[132,185],"typically":[133],"involves":[134],"calculating":[135],"inverse":[137],"relatively":[140],"large-scale":[141],"covariance":[142],"matrix,":[143],"which":[144],"can":[145],"be":[146],"computationally":[147],"intensive":[148],"compared":[149],"conventional":[151,169],"We":[153],"propose":[154],"fast":[156],"that":[162,180],"yields":[163],"same":[165],"result":[166],"as":[167],"approach,":[170],"but":[171],"without":[172],"performing":[173],"matrix":[174],"inversion.":[175],"Our":[176],"numerical":[177],"tests":[178],"demonstrate":[179],"proposed":[182],"effective":[187],"efficient":[189]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}