{"id":"https://openalex.org/W4403022012","doi":"https://doi.org/10.1109/lgrs.2024.3471623","title":"AUTL: An Attention U-Net Transfer Learning Inversion Framework for Magnetotelluric Data","display_name":"AUTL: An Attention U-Net Transfer Learning Inversion Framework for Magnetotelluric Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403022012","doi":"https://doi.org/10.1109/lgrs.2024.3471623"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3471623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3471623","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":null,"display_name":"Ci Gao","orcid":"https://orcid.org/0009-0005-7395-4301"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ci Gao","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","College of Geo-exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0005-7395-4301","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Geo-exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639162","display_name":"Yabin Li","orcid":"https://orcid.org/0000-0001-5698-721X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yabin Li","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","College of Geo-exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-5698-721X","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Geo-exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012936787","display_name":"Xueqiu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiu Wang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","College of Geo-exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Geo-exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.5087,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65310724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.998199999332428,"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":0.998199999332428,"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":0.9868000149726868,"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"}},{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9556999802589417,"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/magnetotellurics","display_name":"Magnetotellurics","score":0.9387658834457397},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6454017162322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44607216119766235},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42616742849349976},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35358425974845886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29052305221557617},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13833439350128174},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.12811046838760376},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09297752380371094},{"id":"https://openalex.org/keywords/electrical-resistivity-and-conductivity","display_name":"Electrical resistivity and conductivity","score":0.07523542642593384}],"concepts":[{"id":"https://openalex.org/C112313211","wikidata":"https://www.wikidata.org/wiki/Q1413106","display_name":"Magnetotellurics","level":3,"score":0.9387658834457397},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6454017162322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44607216119766235},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42616742849349976},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35358425974845886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29052305221557617},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13833439350128174},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12811046838760376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09297752380371094},{"id":"https://openalex.org/C69990965","wikidata":"https://www.wikidata.org/wiki/Q65402698","display_name":"Electrical resistivity and conductivity","level":2,"score":0.07523542642593384},{"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/lgrs.2024.3471623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3471623","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/G1756091579","display_name":null,"funder_award_id":"42074080","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2004861672","https://openalex.org/W2013459156","https://openalex.org/W2051734966","https://openalex.org/W2067291271","https://openalex.org/W2108064160","https://openalex.org/W2116812250","https://openalex.org/W2125100650","https://openalex.org/W2133454905","https://openalex.org/W2142205121","https://openalex.org/W2290150598","https://openalex.org/W2887280559","https://openalex.org/W2899810604","https://openalex.org/W3041523127","https://openalex.org/W3187018276","https://openalex.org/W4307168582","https://openalex.org/W4313525856","https://openalex.org/W4321484009","https://openalex.org/W4323644297","https://openalex.org/W4386432247","https://openalex.org/W4386498267","https://openalex.org/W4389104844","https://openalex.org/W4389513226","https://openalex.org/W4391341286","https://openalex.org/W4391877832","https://openalex.org/W6682132143","https://openalex.org/W6682137061","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4322746207","https://openalex.org/W2081467492","https://openalex.org/W2809693971","https://openalex.org/W2973208711","https://openalex.org/W2037493368","https://openalex.org/W3021715158","https://openalex.org/W2793448175","https://openalex.org/W2170190929"],"abstract_inverted_index":{"Given":[0],"the":[1,29,66,82,87,92,96,113,116,157,168],"limited":[2,151],"number":[3],"of":[4,31,91,98,115],"labeled":[5],"magnetotelluric":[6],"(MT)":[7],"filed":[8],"data":[9,64,154],"samples,":[10],"current":[11],"neural":[12],"network":[13],"(NN)":[14],"inversions":[15],"for":[16,146,159],"MT":[17,153],"are":[18],"primarily":[19],"rely":[20],"on":[21,108],"synthetic":[22,121],"data,":[23,124],"which":[24],"may":[25],"not":[26],"fully":[27],"capture":[28],"complexity":[30],"true":[32],"underground":[33,131],"resistivity":[34,132],"structures.":[35],"This":[36,85,140],"letter":[37],"introduces":[38],"a":[39,143],"novel":[40],"inversion":[41,59,93,148],"scheme":[42],"that":[43],"combines":[44],"attention":[45,99],"U-Net":[46],"with":[47,134,150,162],"transfer":[48,70],"learning":[49,71],"(AUTL)":[50],"to":[51],"bridge":[52],"this":[53],"gap.":[54],"The":[55],"proposed":[56],"method":[57,141],"improves":[58,103],"accuracy":[60,136],"by":[61,106],"integrating":[62],"field":[63,79,152],"into":[65],"training":[67,147],"process":[68],"through":[69],"(TL),":[72],"using":[73,119],"3-D":[74,165],"models":[75,166],"derived":[76],"from":[77],"real":[78],"measurements":[80],"as":[81],"target":[83],"dataset.":[84],"enhances":[86],"authenticity":[88],"and":[89,122,137,155],"reliability":[90],"results.":[94],"Additionally,":[95],"incorporation":[97],"gates":[100],"(AGs)":[101],"significantly":[102],"feature":[104],"extraction":[105],"focusing":[107],"relevant":[109],"features.":[110],"We":[111],"validate":[112],"effectiveness":[114],"AUTL":[117],"approach":[118],"both":[120],"measured":[123],"demonstrating":[125],"its":[126],"superior":[127],"performance":[128],"in":[129,167],"reconstructing":[130],"structures":[133],"high":[135],"noise":[138],"resistance.":[139],"offers":[142],"promising":[144],"solution":[145],"networks":[149],"lays":[156],"groundwork":[158],"expanding":[160],"datasets":[161],"more":[163],"diverse":[164],"future.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}