{"id":"https://openalex.org/W3040125981","doi":"https://doi.org/10.1109/tgrs.2020.3004465","title":"A Frequency-Domain Quasi-Newton-Based Biparameter Synchronous Imaging Scheme for Ground-Penetrating Radar With Applications in Full Waveform Inversion","display_name":"A Frequency-Domain Quasi-Newton-Based Biparameter Synchronous Imaging Scheme for Ground-Penetrating Radar With Applications in Full Waveform Inversion","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3040125981","doi":"https://doi.org/10.1109/tgrs.2020.3004465","mag":"3040125981"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3004465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3004465","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/A5040695983","display_name":"Deshan Feng","orcid":"https://orcid.org/0000-0002-6290-7797"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deshan Feng","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China","Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722972","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0002-3039-4683"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China","Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091267934","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-2127-9560"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China","Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040695983"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":3.6106,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92413876,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"3","first_page":"1949","last_page":"1966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/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/T11757","display_name":"Seismic Waves and Analysis","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6575875878334045},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.6315046548843384},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5996057987213135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5954750776290894},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5316356420516968},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.46716582775115967},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.4637044072151184},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4253084659576416},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37701416015625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21212923526763916},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1498241126537323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1413191258907318},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.08929130434989929}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6575875878334045},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.6315046548843384},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5996057987213135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5954750776290894},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5316356420516968},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.46716582775115967},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.4637044072151184},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4253084659576416},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37701416015625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21212923526763916},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1498241126537323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1413191258907318},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.08929130434989929},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3004465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3004465","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/G1642845775","display_name":null,"funder_award_id":"41774132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3015946502","display_name":null,"funder_award_id":"41574116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4367883518","display_name":null,"funder_award_id":"2018M632992","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4969378397","display_name":null,"funder_award_id":"41704128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6440005981","display_name":null,"funder_award_id":"2018JJ3636","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8601443177","display_name":null,"funder_award_id":"CX2017B052","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1605773447","https://openalex.org/W1969879856","https://openalex.org/W1977341879","https://openalex.org/W1994904136","https://openalex.org/W2005447235","https://openalex.org/W2009552164","https://openalex.org/W2015417647","https://openalex.org/W2023745812","https://openalex.org/W2041724848","https://openalex.org/W2051126222","https://openalex.org/W2074863222","https://openalex.org/W2099022209","https://openalex.org/W2100245965","https://openalex.org/W2108253292","https://openalex.org/W2112075641","https://openalex.org/W2114424556","https://openalex.org/W2122325233","https://openalex.org/W2124477243","https://openalex.org/W2128580630","https://openalex.org/W2134648897","https://openalex.org/W2136247928","https://openalex.org/W2137454227","https://openalex.org/W2138541488","https://openalex.org/W2141067692","https://openalex.org/W2150240527","https://openalex.org/W2152844481","https://openalex.org/W2155107551","https://openalex.org/W2159598897","https://openalex.org/W2160795898","https://openalex.org/W2163727927","https://openalex.org/W2166525224","https://openalex.org/W2168110839","https://openalex.org/W2168734735","https://openalex.org/W2206014762","https://openalex.org/W2314841451","https://openalex.org/W2363918146","https://openalex.org/W2486170143","https://openalex.org/W2789296496","https://openalex.org/W2798909945","https://openalex.org/W2956862147","https://openalex.org/W2966278466","https://openalex.org/W2969024480","https://openalex.org/W3029645440","https://openalex.org/W3149976863","https://openalex.org/W4301014524","https://openalex.org/W6698822953"],"related_works":["https://openalex.org/W2800988248","https://openalex.org/W4385064145","https://openalex.org/W2066043610","https://openalex.org/W1965977581","https://openalex.org/W2061980133","https://openalex.org/W2050855072","https://openalex.org/W2077506191","https://openalex.org/W2387685679","https://openalex.org/W3134728064","https://openalex.org/W2115238236"],"abstract_inverted_index":{"Full":[0],"waveform":[1],"inversion":[2,187],"(FWI)":[3],"of":[4,18,24,36,56,75,115,128,141,149,174,177,209],"ground-penetrating":[5],"radar":[6],"(GPR)":[7],"data":[8,20,83,160,196],"is":[9,41,85,203],"becoming":[10],"a":[11,33,53,71,88,106,120],"promising":[12],"technique":[13,109],"to":[14,43,52,110,124,136,205],"facilitate":[15],"the":[16,22,25,57,76,92,112,126,138,145,150,166,172,178,194,200,207,210,217,223,226,243],"interpretation":[17],"surface-GPR":[19,82,244],"and":[21,39,47,61,91,104,130,147,161,193,241],"mapping":[23],"subsurface.":[26],"However,":[27],"more":[28],"general":[29],"FWIs":[30],"still":[31],"require":[32],"sufficient":[34],"amount":[35,55],"RAM":[37],"memory,":[38],"it":[40],"difficult":[42],"produce":[44],"an":[45,101],"accurate":[46],"representative":[48],"reconstruction":[49],"result":[50],"due":[51],"large":[54],"Hessian":[58],"matrix":[59],"calculations":[60],"singular":[62],"value":[63],"decomposition":[64],"(SVD).":[65],"In":[66,165,198],"this":[67],"article,":[68],"we":[69,153,168],"developed":[70],"novel":[72],"full-waveform":[73],"approach":[74,99,234],"limited-memory":[77],"Broyden-Fletcher-Goldfarb-Shanno":[78],"(L-BFGS)":[79],"algorithm":[80,103,157,219],"for":[81,237],"that":[84,216],"based":[86],"on":[87,170],"quasi-Newton":[89],"framework":[90],"total":[93],"variation":[94],"(TV)":[95],"regularization.":[96],"The":[97,213],"proposed":[98,151,211,218],"uses":[100],"L-BFGS":[102],"combines":[105],"scale-transformation":[107],"regularization":[108,132,185],"mitigate":[111],"ill-posed":[113],"problem":[114],"inversion,":[116,129],"which":[117,231],"can":[118,220],"impose":[119],"biparameter":[121,224],"preinformation":[122],"constraint":[123],"ensure":[125],"stability":[127],"adaptive":[131],"weights":[133],"are":[134],"applied":[135],"improve":[137],"convergence":[139],"efficiency":[140],"inversion.":[142],"To":[143],"demonstrate":[144,206],"novelty":[146],"effectiveness":[148],"scheme,":[152],"tested":[154],"our":[155,233],"FWI":[156,179,201,245],"using":[158],"synthetic":[159],"in-site":[162],"field":[163],"data.":[164],"testing,":[167],"focus":[169],"analyzing":[171],"influence":[173],"different":[175,182],"aspects":[176],"results,":[180],"including":[181],"scale":[183],"factors,":[184],"weights,":[186],"strategies,":[188],"acquisition":[189],"configurations,":[190],"initial":[191],"models,":[192],"noisy":[195],"set.":[197],"particular,":[199],"experiment":[202],"performed":[204],"applicability":[208],"algorithm.":[212],"results":[214],"show":[215],"effectively":[221],"reconstruct":[222],"near":[225],"subsurface":[227],"with":[228],"high":[229],"accuracy,":[230],"makes":[232,242],"very":[235],"attractive":[236],"attribute":[238],"analysis":[239],"applications":[240],"commercially":[246],"viable.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}