{"id":"https://openalex.org/W3208006381","doi":"https://doi.org/10.1109/lgrs.2021.3122227","title":"Adaptive Surface-Related Multiple Subtraction Based on Convolutional Neural Network","display_name":"Adaptive Surface-Related Multiple Subtraction Based on Convolutional Neural Network","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3208006381","doi":"https://doi.org/10.1109/lgrs.2021.3122227","mag":"3208006381"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3122227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3122227","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/A5100652740","display_name":"Lichao Liu","orcid":"https://orcid.org/0000-0002-4466-1578"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lichao Liu","raw_affiliation_strings":["School of Earth and Space Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048075639","display_name":"Tianyue Hu","orcid":"https://orcid.org/0000-0002-7144-6240"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyue Hu","raw_affiliation_strings":["School of Earth and Space Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046181759","display_name":"Jiandong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Huang","raw_affiliation_strings":["School of Earth and Space Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021088424","display_name":"Shangxu Wang","orcid":"https://orcid.org/0000-0003-0265-5679"},"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":"Shangxu Wang","raw_affiliation_strings":["State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100652740"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.0069,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84999086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","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":0.9983000159263611,"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":0.9950000047683716,"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":0.6445146799087524},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.6107745170593262},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5112099647521973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47540387511253357},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.46788495779037476},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4655609428882599},{"id":"https://openalex.org/keywords/multiple","display_name":"Multiple","score":0.4499727487564087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43660375475883484},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41595935821533203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.382402241230011},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.30567505955696106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3020693063735962},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14768114686012268},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13737404346466064}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6445146799087524},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.6107745170593262},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5112099647521973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47540387511253357},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.46788495779037476},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4655609428882599},{"id":"https://openalex.org/C164680029","wikidata":"https://www.wikidata.org/wiki/Q1055293","display_name":"Multiple","level":2,"score":0.4499727487564087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43660375475883484},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41595935821533203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.382402241230011},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.30567505955696106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3020693063735962},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14768114686012268},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13737404346466064},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3122227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3122227","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":[{"id":"https://openalex.org/G497936757","display_name":null,"funder_award_id":"41674122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8191065229","display_name":null,"funder_award_id":"2018YFA0702503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2000088183","https://openalex.org/W2000865652","https://openalex.org/W2080760085","https://openalex.org/W2170856713","https://openalex.org/W2370763098","https://openalex.org/W2563181346","https://openalex.org/W2888262239","https://openalex.org/W2966965831","https://openalex.org/W2978002276","https://openalex.org/W2979519023","https://openalex.org/W3014375287","https://openalex.org/W3121528525","https://openalex.org/W3145925200","https://openalex.org/W6982410090","https://openalex.org/W7017146079","https://openalex.org/W7017557913"],"related_works":["https://openalex.org/W2206672409","https://openalex.org/W1490112215","https://openalex.org/W2144973132","https://openalex.org/W1964373633","https://openalex.org/W1966496721","https://openalex.org/W2978740427","https://openalex.org/W3162397220","https://openalex.org/W2036954759","https://openalex.org/W2163768202","https://openalex.org/W2037752418"],"abstract_inverted_index":{"Adaptive":[0],"surface-related":[1,9,60,141],"multiple":[2,10],"subtraction":[3,118],"is":[4,119],"an":[5],"important":[6],"step":[7],"of":[8,50,55,77,111,126],"elimination":[11],"(SRME)":[12],"method.":[13],"Generally,":[14],"the":[15,19,23,48,53,58,70,74,82,107,112,135],"traditional":[16,83],"methods":[17],"match":[18,68],"predicted":[20,59],"multiples":[21,51,61,142],"with":[22,69,81],"original":[24,71],"data":[25,128,132],"using":[26],"obtained":[27,114],"filter.":[28],"In":[29],"this":[30],"letter,":[31],"we":[32],"propose":[33],"a":[34,45],"matching":[35,116],"algorithm":[36],"based":[37],"on":[38],"convolutional":[39],"neural":[40],"network":[41],"(CNN)":[42],"to":[43],"strike":[44],"balance":[46],"between":[47],"attenuation":[49],"and":[52,106,117,129],"protection":[54],"primaries.":[56],"Taking":[57],"as":[62],"input,":[63],"CNN\u2019s":[64],"output":[65],"can":[66,138],"better":[67],"data.":[72,145],"From":[73],"processing":[75],"results":[76],"synthetic":[78],"data,":[79],"compared":[80],"<inline-formula":[84,92],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[86,94],"<tex-math":[87,95],"notation=\"LaTeX\">$L_{1}$":[88],"</tex-math></inline-formula>":[89,97],"-norm":[90,98],"or":[91],"notation=\"LaTeX\">$L_{2}$":[96],"method,":[99],"CNN":[100],"method":[101,137],"has":[102],"lower":[103],"calculation":[104],"cost":[105],"signal-to-noise":[108],"ratio":[109],"(SNR)":[110],"primaries":[113],"after":[115],"increased":[120],"by":[121],"3":[122],"dB.":[123],"The":[124],"test":[125],"Pluto":[127],"physical":[130],"simulation":[131],"show":[133],"that":[134],"proposed":[136],"effectively":[139],"remove":[140],"in":[143],"seismic":[144]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}