{"id":"https://openalex.org/W4319303926","doi":"https://doi.org/10.1109/tgrs.2023.3243140","title":"Autoencoded Elastic Wave-Equation Traveltime Inversion: Toward Reliable Near-Surface Tomogram","display_name":"Autoencoded Elastic Wave-Equation Traveltime Inversion: Toward Reliable Near-Surface Tomogram","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319303926","doi":"https://doi.org/10.1109/tgrs.2023.3243140"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3243140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3243140","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/A5100750108","display_name":"Chang Zhang","orcid":"https://orcid.org/0009-0005-4988-5705"},"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":"Chang Zhang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology and the Key Laboratory of Applied Geophysics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology and the Key Laboratory of Applied Geophysics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336995","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-7960-176X"},"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":"Jing Li","raw_affiliation_strings":["College of Geo-Exploration Science and Technology and the Key Laboratory of Applied Geophysics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology and the Key Laboratory of Applied Geophysics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462720","display_name":"Yu Han","orcid":"https://orcid.org/0000-0003-1462-1118"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yu","raw_affiliation_strings":["School of Computer Science, and the Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, and the Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101783387","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-5188-3320"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Qilu Transportation and the Geotechnical and Structural Engineering Techniques Research Center, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation and the Geotechnical and Structural Engineering Techniques Research Center, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100750108"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":1.6858,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79940386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"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":0.9998000264167786,"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":0.9973999857902527,"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/algorithm","display_name":"Algorithm","score":0.5622490048408508},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5553553700447083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4955860376358032},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4733220040798187},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.47309282422065735},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.44275227189064026},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.3157930374145508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30899500846862793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.21992889046669006},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1512203812599182},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1470981240272522}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5622490048408508},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5553553700447083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4955860376358032},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4733220040798187},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.47309282422065735},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.44275227189064026},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.3157930374145508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30899500846862793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.21992889046669006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1512203812599182},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1470981240272522},{"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.2023.3243140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3243140","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/G7265919397","display_name":null,"funder_award_id":"42174065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7756628278","display_name":null,"funder_award_id":"42222407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8644058372","display_name":null,"funder_award_id":"2022YFC3080200","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":31,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1975420145","https://openalex.org/W2007787802","https://openalex.org/W2009552164","https://openalex.org/W2016584925","https://openalex.org/W2083826621","https://openalex.org/W2085961516","https://openalex.org/W2106306857","https://openalex.org/W2125916088","https://openalex.org/W2141603699","https://openalex.org/W2143507145","https://openalex.org/W2158285489","https://openalex.org/W2168110839","https://openalex.org/W2326216791","https://openalex.org/W2496022018","https://openalex.org/W2559855462","https://openalex.org/W2579824073","https://openalex.org/W2587606665","https://openalex.org/W2609860667","https://openalex.org/W2621841016","https://openalex.org/W2891542121","https://openalex.org/W3033993578","https://openalex.org/W3120026107","https://openalex.org/W3197798301","https://openalex.org/W3197851495","https://openalex.org/W4205326996","https://openalex.org/W4281812189","https://openalex.org/W4300546991","https://openalex.org/W4311415873","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"Due":[0],"to":[1,57,76,102,121,168,173,195],"unexpected":[2],"environmental":[3],"variations":[4],"and":[5,97,180,190,203,227,232],"poor":[6],"consistencies":[7],"in":[8,31,67,159],"land":[9],"data":[10,62,103,152,183],"acquisition,":[11],"complex":[12],"near-surface":[13],"seismograms":[14],"are":[15],"usually":[16],"polluted":[17],"unreasonably":[18],"with":[19,71,86,94,133,148,171],"a":[20,48,87,200,207,229],"low":[21,225],"signal-to-noise":[22],"ratio":[23],"(SNR).":[24],"These":[25],"complicated":[26],"circumstances":[27],"bring":[28],"more":[29,230],"challenges":[30],"identifying":[32],"accurate":[33],"first":[34],"arrivals":[35],"for":[36,63,80,153,185],"the":[37,44,59,68,84,117,123,134,137,142,146,154,160,169,187,191,197,204,215],"following":[38],"wave-equation":[39],"traveltime":[40],"(WT)":[41],"inversion.":[42],"Recently,":[43],"autoencoder":[45],"(AE)":[46],"is":[47,56,91,98],"typical":[49],"unsupervised":[50],"learning":[51],"network,":[52],"whose":[53],"basic":[54],"principle":[55],"compress":[58],"input":[60],"seismic":[61,81],"their":[64],"intrinsic":[65,143],"features":[66,79,144],"latent":[69,161],"space":[70,162],"an":[72,110],"encoder":[73],"and,":[74],"thereafter,":[75],"decipher":[77],"these":[78,211],"profiles":[82],"as":[83,150],"output":[85],"decoder.":[88],"This":[89],"process":[90],"fully":[92],"automatic":[93],"high":[95],"stability":[96],"not":[99],"very":[100],"sensitive":[101],"quality.":[104],"In":[105],"this":[106],"article,":[107],"we":[108],"propose":[109],"elastic":[111,217],"WT":[112,193],"inversion":[113],"algorithm":[114],"based":[115],"on":[116],"AE":[118,149],"method":[119,139,219],"(AEWT)":[120],"invert":[122],"<inline-formula":[124,234],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125,235],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[126,236],"<tex-math":[127,237],"notation=\"LaTeX\">$P$":[128,238],"</tex-math></inline-formula>":[129,239],"-velocity":[130,240],"model.":[131],"Compared":[132],"standard":[135,192],"WT,":[136],"AEWT":[138,189,218],"automatically":[140],"extracts":[141],"of":[145,199,206],"refractions":[147],"reference":[151],"misfit":[155],"functionals.":[156],"Feature":[157],"images":[158],"show":[163],"similar":[164],"but":[165],"intensified":[166],"sensitivity":[167],"traveltimes":[170],"respect":[172],"velocity":[174],"perturbations.":[175],"We":[176],"present":[177],"one":[178],"synthetic":[179],"two":[181],"field":[182],"tests":[184],"comparing":[186],"proposed":[188,216],"tomograms":[194],"investigate":[196],"locations":[198],"buried":[201,208],"fault":[202],"depth":[205],"sinkhole.":[209],"All":[210],"experiments":[212],"demonstrate":[213],"that":[214],"can":[220],"reduce":[221],"errors":[222],"caused":[223],"by":[224],"SNR":[226],"obtain":[228],"reliable":[231],"stable":[233],"tomogram.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
