{"id":"https://openalex.org/W4415482107","doi":"https://doi.org/10.1109/lgrs.2025.3624703","title":"Deep Learning Reparameterized FWI Using a Frequency-Normalized Gradient","display_name":"Deep Learning Reparameterized FWI Using a Frequency-Normalized Gradient","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415482107","doi":"https://doi.org/10.1109/lgrs.2025.3624703"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3624703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3624703","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/A5007733194","display_name":"Jinwei Fang","orcid":"https://orcid.org/0000-0002-1664-0024"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Fang","raw_affiliation_strings":["State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1664-0024","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387079","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0001-5609-7401"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang, China","School of Earth Sciences, Northeast Petroleum University, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang, China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"School of Earth Sciences, Northeast Petroleum University, Heilongjiang, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055610808","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0003-1594-7187"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091337500","display_name":"Enyuan Wang","orcid":"https://orcid.org/0000-0003-0239-3015"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyuan Wang","raw_affiliation_strings":["State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090707515","display_name":"Honglei Shen","orcid":"https://orcid.org/0000-0002-8994-2883"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Shen","raw_affiliation_strings":["State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8994-2883","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Safety Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanics &#x0026; Civil Engineering, School of Safety Engineering, State Key Laboratory of Intelligent Construction and Healthy operation &#x0026; Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29069884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9100000262260437,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/normalization","display_name":"Normalization (sociology)","score":0.6830999851226807},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6743999719619751},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6711999773979187},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5925999879837036},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5212000012397766},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43779999017715454},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.41179999709129333}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6830999851226807},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6743999719619751},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6711999773979187},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5925999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.583299994468689},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5012000203132629},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3257000148296356},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3624703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3624703","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/G1875813524","display_name":null,"funder_award_id":"42104113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4052675401","display_name":null,"funder_award_id":"2024DQ02-0137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4255602346","display_name":null,"funder_award_id":"2023ZDYQ11004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5856154434","display_name":null,"funder_award_id":"52227901","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2009552164","https://openalex.org/W2064716756","https://openalex.org/W2100245965","https://openalex.org/W2125916088","https://openalex.org/W2134166089","https://openalex.org/W2150240527","https://openalex.org/W2170640432","https://openalex.org/W2522338163","https://openalex.org/W2895034689","https://openalex.org/W2912052494","https://openalex.org/W2913654866","https://openalex.org/W2914597760","https://openalex.org/W2967236175","https://openalex.org/W2983807332","https://openalex.org/W2992007141","https://openalex.org/W3014029212","https://openalex.org/W3117885545","https://openalex.org/W3183154679","https://openalex.org/W4321327328","https://openalex.org/W4321380919","https://openalex.org/W4385413342","https://openalex.org/W4399985101","https://openalex.org/W4401387430","https://openalex.org/W4401493592","https://openalex.org/W4408358314","https://openalex.org/W4408609699","https://openalex.org/W4412403728"],"related_works":[],"abstract_inverted_index":{"High-precision":[0],"full-waveform":[1],"inversion":[2,66,112],"is":[3,21,114],"a":[4,47,64,74,87,91,98,105],"key":[5],"method":[6,127],"for":[7,23],"subsurface":[8],"parameter":[9,101],"modeling.":[10],"Enhancing":[11],"the":[12,83,110,117,125,146,150],"contribution":[13,56],"of":[14],"weak":[15],"low-frequency":[16,32,55],"signals":[17],"to":[18,78,138,144],"low-wavenumber":[19,129],"components":[20],"crucial":[22],"inversion.":[24],"Existing":[25],"frequency":[26,49,94],"normalization":[27,39,50],"schemes":[28],"can":[29],"significantly":[30],"leverage":[31],"contributions":[33],"in":[34],"inversion,":[35],"but":[36],"their":[37],"discrete":[38],"approach":[40],"produces":[41],"pronounced":[42],"high-wavenumber":[43,59,134],"noise.":[44],"We":[45],"propose":[46],"deep-learning-parameterized":[48],"scheme":[51],"that":[52,124],"effectively":[53],"enhancing":[54],"and":[57,96,132,154],"suppressing":[58],"artifacts.":[60],"By":[61],"innovatively":[62],"constructing":[63],"deep-learning-driven":[65],"framework":[67],"with":[68,86],"frequency-normalized":[69],"adjoint":[70],"gradients:":[71],"it":[72],"uses":[73],"deep":[75,118],"learning":[76,107],"network":[77,100],"parameterize":[79],"model":[80,153],"parameters,":[81],"solves":[82],"time-domain":[84],"solver":[85],"normalized":[88],"source,":[89],"builds":[90],"gradient":[92],"without":[93],"crosstalk,":[95],"forms":[97],"cyclic":[99],"update":[102],"process.":[103],"Through":[104],"multi-scale":[106],"optimization":[108],"scheme,":[109],"final":[111],"result":[113],"output":[115],"via":[116],"network.":[119],"Synthetic":[120],"data":[121,140],"results":[122],"demonstrate":[123],"proposed":[126],"enhances":[128],"modeling":[130],"capability":[131],"suppresses":[133],"noise;":[135],"its":[136,142],"application":[137],"land":[139],"confirms":[141],"ability":[143],"bridge":[145],"medium-wavenumber":[147],"gap":[148],"between":[149],"initial":[151],"background":[152],"migration":[155],"imaging.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-23T00:00:00"}
