{"id":"https://openalex.org/W4407315249","doi":"https://doi.org/10.1109/lgrs.2025.3540113","title":"Magnetotelluric Inversion Based on Double-Layer Convolutional Neural Network","display_name":"Magnetotelluric Inversion Based on Double-Layer Convolutional Neural Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407315249","doi":"https://doi.org/10.1109/lgrs.2025.3540113"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3540113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3540113","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/A5012438387","display_name":"Han Lin","orcid":"https://orcid.org/0000-0002-7794-0688"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Lin","raw_affiliation_strings":["Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-7794-0688","affiliations":[{"raw_affiliation_string":"Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108030401","display_name":"Jianfeng Jin","orcid":"https://orcid.org/0000-0002-4248-5961"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Jin","raw_affiliation_strings":["Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018141539","display_name":"Jianliang Zhuo","orcid":"https://orcid.org/0000-0002-0358-6313"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang Zhuo","raw_affiliation_strings":["Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-0358-6313","affiliations":[{"raw_affiliation_string":"Fujian Engineering Research Center for EDA, Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen Key Laboratory of Multiphysics Electronic Information, Institute of Electromagnetics and Acoustics, Fujian Engineering Research Center for EDA, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028774005","display_name":"Changming Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ChangMing Shen","raw_affiliation_strings":["Hunan Remote Sensing Geological Survey and Monitoring Institute, Changsha, China","Hunan remote sensing geological survey and monitoring Institute, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Remote Sensing Geological Survey and Monitoring Institute, Changsha, China","institution_ids":[]},{"raw_affiliation_string":"Hunan remote sensing geological survey and monitoring Institute, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345153","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0001-5286-4423"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Huo Liu","raw_affiliation_strings":["Eastern Institute of Technology, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-5286-4423","affiliations":[{"raw_affiliation_string":"Eastern Institute of Technology, Ningbo, China","institution_ids":["https://openalex.org/I4394709157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4472,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89811195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.8260999917984009,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.8260999917984009,"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/T10320","display_name":"Neural Networks and Applications","score":0.8123999834060669,"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/magnetotellurics","display_name":"Magnetotellurics","score":0.7418002486228943},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6600433588027954},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6184903979301453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5369199514389038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3762108087539673},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3410912752151489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33517828583717346},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.11401990056037903},{"id":"https://openalex.org/keywords/electrical-resistivity-and-conductivity","display_name":"Electrical resistivity and conductivity","score":0.09302213788032532},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0901108980178833}],"concepts":[{"id":"https://openalex.org/C112313211","wikidata":"https://www.wikidata.org/wiki/Q1413106","display_name":"Magnetotellurics","level":3,"score":0.7418002486228943},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6600433588027954},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6184903979301453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5369199514389038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3762108087539673},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3410912752151489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33517828583717346},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.11401990056037903},{"id":"https://openalex.org/C69990965","wikidata":"https://www.wikidata.org/wiki/Q65402698","display_name":"Electrical resistivity and conductivity","level":2,"score":0.09302213788032532},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0901108980178833},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3540113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3540113","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1557424883","https://openalex.org/W2052393707","https://openalex.org/W2108064160","https://openalex.org/W2117650823","https://openalex.org/W2149021367","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2405730819","https://openalex.org/W2547902199","https://openalex.org/W2734934825","https://openalex.org/W2766762759","https://openalex.org/W2919115771","https://openalex.org/W2926175640","https://openalex.org/W2937350470","https://openalex.org/W2975636095","https://openalex.org/W2991585123","https://openalex.org/W3027867949","https://openalex.org/W3045071445","https://openalex.org/W3137794466","https://openalex.org/W3164014404","https://openalex.org/W3164782286","https://openalex.org/W3170431496","https://openalex.org/W3172323857","https://openalex.org/W4213429812","https://openalex.org/W4289717344","https://openalex.org/W4389104885","https://openalex.org/W6747680804"],"related_works":["https://openalex.org/W4322746207","https://openalex.org/W2081467492","https://openalex.org/W2809693971","https://openalex.org/W2037493368","https://openalex.org/W3021715158","https://openalex.org/W2973208711","https://openalex.org/W2793448175","https://openalex.org/W2170190929","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"A":[0],"double-layer":[1],"neural":[2,45,83,129,137],"network":[3,8,46,84,92,130],"combining":[4],"a":[5,116],"fully":[6],"convolutional":[7,44],"(FCN)":[9],"and":[10,87],"U-Net":[11],"is":[12,32],"introduced":[13],"to":[14,35],"improve":[15],"the":[16,28,37,40,43,53,58,65,68,78,82,89,101,108,120,123,128,134],"accuracy":[17,121],"of":[18,42,52,61,70,81,91,107,122,136],"2.5-D":[19,141],"magnetotelluric":[20,142],"(MT)":[21,143],"inversion.":[22],"The":[23,48,74,105],"initial":[24,97],"model":[25],"obtained":[26,56,99],"through":[27,57],"Bostick":[29,102],"inversion":[30,85,103,109,124,144],"method":[31,76,86],"randomly":[33],"transformed":[34,62],"generate":[36],"dataset":[38],"for":[39],"training":[41,49],"(CNN).":[47],"input":[50],"consists":[51],"apparent":[54],"resistivity":[55,69],"forward":[59],"modeling":[60],"models,":[63],"while":[64],"output":[66],"represents":[67],"those":[71],"same":[72],"models.":[73],"proposed":[75],"has":[77],"local":[79],"optimization":[80,93],"narrows":[88],"range":[90],"by":[94],"employing":[95,127],"an":[96,112],"solution":[98],"from":[100],"method.":[104,131],"results":[106,125],"experiments,":[110],"including":[111],"actual":[113],"measurements,":[114],"demonstrate":[115],"significant":[117],"enhancement":[118],"in":[119,139],"when":[126],"This":[132],"demonstrates":[133],"efficiency":[135],"networks":[138],"solving":[140],"problems.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}