{"id":"https://openalex.org/W4391093068","doi":"https://doi.org/10.1109/tgrs.2024.3356663","title":"Surface Wave Inversion Using a Multi-Information Fusion Neural Network","display_name":"Surface Wave Inversion Using a Multi-Information Fusion Neural Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391093068","doi":"https://doi.org/10.1109/tgrs.2024.3356663"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3356663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3356663","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/A5100650711","display_name":"Xinhua Chen","orcid":"https://orcid.org/0000-0002-4573-9111"},"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":"Xinhua Chen","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752110","display_name":"Jianghai Xia","orcid":"https://orcid.org/0000-0001-9895-5267"},"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":"Jianghai Xia","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9895-5267","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100826618","display_name":"Jie Feng","orcid":null},"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":"Jie Feng","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037801224","display_name":"Jingyin Pang","orcid":"https://orcid.org/0000-0002-1784-8353"},"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":"Jingyin Pang","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397055","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-3619-5244"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3619-5244","affiliations":[{"raw_affiliation_string":"GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6918,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88853899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","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/T11757","display_name":"Seismic Waves and Analysis","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/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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9987999796867371,"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/inversion","display_name":"Inversion (geology)","score":0.6773243546485901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6391335725784302},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4983408451080322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4860461354255676},{"id":"https://openalex.org/keywords/surface-wave","display_name":"Surface wave","score":0.4436609148979187},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4407743811607361},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.431816041469574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40589389204978943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38871458172798157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3751373887062073},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.24764594435691833}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6773243546485901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6391335725784302},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4983408451080322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4860461354255676},{"id":"https://openalex.org/C84174578","wikidata":"https://www.wikidata.org/wiki/Q889796","display_name":"Surface wave","level":2,"score":0.4436609148979187},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4407743811607361},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.431816041469574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40589389204978943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38871458172798157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3751373887062073},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.24764594435691833},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3356663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3356663","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/G4410336675","display_name":null,"funder_award_id":"DD20190281","funder_id":"https://openalex.org/F4320334926","funder_display_name":"China Geological Survey"},{"id":"https://openalex.org/G471652675","display_name":null,"funder_award_id":"42174174","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/F4320334926","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1987185550","https://openalex.org/W1993331186","https://openalex.org/W2003649102","https://openalex.org/W2003982119","https://openalex.org/W2045968603","https://openalex.org/W2062897230","https://openalex.org/W2063655376","https://openalex.org/W2064903949","https://openalex.org/W2075460674","https://openalex.org/W2091091226","https://openalex.org/W2106632637","https://openalex.org/W2109717268","https://openalex.org/W2131006763","https://openalex.org/W2133526188","https://openalex.org/W2135545468","https://openalex.org/W2152242052","https://openalex.org/W2164602066","https://openalex.org/W2219230591","https://openalex.org/W2366084862","https://openalex.org/W2544593925","https://openalex.org/W2574952845","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2923222994","https://openalex.org/W2952020389","https://openalex.org/W2969261068","https://openalex.org/W3008444343","https://openalex.org/W3094709780","https://openalex.org/W3145102963","https://openalex.org/W3156809362","https://openalex.org/W3196862543","https://openalex.org/W3203774316","https://openalex.org/W4200172577","https://openalex.org/W4200467949","https://openalex.org/W4213435593","https://openalex.org/W4226158649","https://openalex.org/W4226342985","https://openalex.org/W4285277997","https://openalex.org/W4287888658","https://openalex.org/W4296914424","https://openalex.org/W4308299325","https://openalex.org/W4308881833","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W1980470275","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2086322839","https://openalex.org/W2044634479","https://openalex.org/W2153261214"],"abstract_inverted_index":{"In":[0,141],"noninvasive":[1],"near-surface":[2],"investigations,":[3],"with":[4,129,162],"the":[5,21,34,60,70,84,92,96,99,123,127,130,138,142,146,152,158,163,167,171,175,181,191,199],"emergence":[6],"of":[7,50,91,98,126,132,201],"massive":[8],"seismic":[9],"datasets,":[10],"surface":[11],"wave":[12],"inversion":[13,35,124],"using":[14],"deep":[15],"learning":[16],"(DL)":[17],"can":[18],"efficiently":[19],"attain":[20],"shear-wave":[22],"velocity":[23,64],"(Vs)":[24],"model.":[25],"Existed":[26],"researches":[27],"on":[28,151,190],"DL":[29],"inversion,":[30],"however,":[31],"cannot":[32],"handle":[33],"nonuniqueness":[36,200],"effectively.":[37],"The":[38,48,188],"geological":[39],"constraint":[40],"is":[41],"only":[42,54,166],"reflected":[43],"in":[44,80],"their":[45,51],"training":[46],"dataset.":[47],"input":[49],"neural":[52,77,135],"networks":[53],"contains":[55],"dispersion":[56,148],"curves,":[57],"and":[58,62,87,106,137,179,184,194],"thus":[59,196],"density":[61],"compressional-wave":[63],"(Vp)":[65],"need":[66],"self-learning.":[67],"To":[68,94],"decrease":[69],"nonuniqueness,":[71],"we":[72,82,101],"propose":[73],"a":[74,103,133],"multi-information":[75],"fusion":[76],"network":[78,136],"(MFNN)":[79],"which":[81,109],"add":[83],"Vp,":[85,192],"density,":[86,193],"sensitivity":[88,195],"as":[89],"parts":[90],"input.":[93],"verify":[95],"effectiveness":[97],"MFNN,":[100],"used":[102],"synthetic":[104],"test":[105],"field":[107],"work":[108],"both":[110],"contain":[111],"data":[112],"from":[113,156,170],"six":[114],"regions":[115],"to":[116],"conduct":[117],"multi-region":[118],"simultaneous":[119],"inversions.":[120,202],"We":[121],"compared":[122],"results":[125,131],"MFNN":[128,172],"convolutional":[134],"ground":[139],"truth.":[140],"two":[143],"experiments,":[144],"although":[145],"calculated":[147],"curves":[149],"based":[150],"inverted":[153,168],"Vs":[154,169,177],"model":[155],"all":[157],"methods":[159],"match":[160],"well":[161],"observed":[164],"ones,":[165],"successfully":[173],"reflect":[174],"actual":[176],"structure":[178],"locate":[180],"high-velocity":[182],"layer":[183,186],"low-velocity":[185],"accurately.":[187],"constraints":[189],"effectively":[197],"reduce":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
