{"id":"https://openalex.org/W4402451310","doi":"https://doi.org/10.1109/tgrs.2024.3458870","title":"Unsupervised-Learning Stable Inverse <i>Q</i> Filtering for Seismic Resolution Enhancement","display_name":"Unsupervised-Learning Stable Inverse <i>Q</i> Filtering for Seismic Resolution Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402451310","doi":"https://doi.org/10.1109/tgrs.2024.3458870"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3458870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3458870","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/A5049370516","display_name":"Yinghe Wu","orcid":"https://orcid.org/0000-0002-8350-2190"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghe Wu","raw_affiliation_strings":["School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8350-2190","affiliations":[{"raw_affiliation_string":"School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003004095","display_name":"Shulin Pan","orcid":"https://orcid.org/0000-0003-0514-7274"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]},{"id":"https://openalex.org/I4210098205","display_name":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation","ror":"https://ror.org/00ftbmy59","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098205"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Pan","raw_affiliation_strings":["State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation and the School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0514-7274","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation and the School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306","https://openalex.org/I4210098205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074617193","display_name":"Haiqiang Lan","orcid":"https://orcid.org/0000-0001-9638-1095"},"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/I4210126061","display_name":"Institute of Geology and Geophysics","ror":"https://ror.org/030vmwa78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126061"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqiang Lan","raw_affiliation_strings":["State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9638-1095","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210126061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037040783","display_name":"Yaojie Chen","orcid":"https://orcid.org/0009-0003-6351-5618"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]},{"id":"https://openalex.org/I4210098205","display_name":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation","ror":"https://ror.org/00ftbmy59","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098205"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaojie Chen","raw_affiliation_strings":["State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation and the School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation and the School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306","https://openalex.org/I4210098205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112464562","display_name":"Jos\u00e9 Badal","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Badal","raw_affiliation_strings":["Geophysics, University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geophysics, University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058604708","display_name":"Ziyu Qin","orcid":"https://orcid.org/0000-0002-3748-1069"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Qin","raw_affiliation_strings":["Chengdu Technological University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3748-1069","affiliations":[{"raw_affiliation_string":"Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I4401041622","https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0094,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70771526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","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"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","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/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5496845245361328},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.46128007769584656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4571121037006378},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.45145758986473083},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4484253227710724},{"id":"https://openalex.org/keywords/inverse-theory","display_name":"Inverse theory","score":0.4479524493217468},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4430457055568695},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4087238311767578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3361029028892517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32321006059646606},{"id":"https://openalex.org/keywords/surface-wave","display_name":"Surface wave","score":0.18444451689720154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15456834435462952},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09367284178733826}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5496845245361328},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.46128007769584656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4571121037006378},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.45145758986473083},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4484253227710724},{"id":"https://openalex.org/C2992863106","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse theory","level":3,"score":0.4479524493217468},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4430457055568695},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4087238311767578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3361029028892517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32321006059646606},{"id":"https://openalex.org/C84174578","wikidata":"https://www.wikidata.org/wiki/Q889796","display_name":"Surface wave","level":2,"score":0.18444451689720154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15456834435462952},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09367284178733826},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3458870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3458870","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"},{"id":"pmh:oai:zaguan.unizar.es:145561","is_oa":false,"landing_page_url":"http://zaguan.unizar.es/record/145561","pdf_url":null,"source":{"id":"https://openalex.org/S4306401812","display_name":"Zaguan (University of Zaragoza Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I255234318","host_organization_name":"Universidad de Zaragoza","host_organization_lineage":["https://openalex.org/I255234318"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G5340831105","display_name":null,"funder_award_id":"24NSFSC4272","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G7972842437","display_name":null,"funder_award_id":"42022028","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/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1994413529","https://openalex.org/W2020049861","https://openalex.org/W2030400978","https://openalex.org/W2108010353","https://openalex.org/W2118592408","https://openalex.org/W2130940196","https://openalex.org/W2158677781","https://openalex.org/W2298152556","https://openalex.org/W2891660007","https://openalex.org/W2911424749","https://openalex.org/W2933219851","https://openalex.org/W2959090088","https://openalex.org/W2967893012","https://openalex.org/W3007075806","https://openalex.org/W3008777707","https://openalex.org/W3022413839","https://openalex.org/W3087374394","https://openalex.org/W3122348072","https://openalex.org/W3140854437","https://openalex.org/W3163605466","https://openalex.org/W3185921949","https://openalex.org/W3189165652","https://openalex.org/W4226218162","https://openalex.org/W4285141085","https://openalex.org/W4289950753","https://openalex.org/W4309047546","https://openalex.org/W4312868463","https://openalex.org/W4317607487","https://openalex.org/W4362653588","https://openalex.org/W4375810153","https://openalex.org/W4385245566","https://openalex.org/W4390651071","https://openalex.org/W4401394614"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2331917905","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W3155039083","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Affected":[0],"by":[1,201],"near-surface":[2,168],"absorption,":[3],"seismic":[4,20,25,92,251,269],"wave":[5,66,93],"energy":[6],"attenuation":[7,87,94,163],"and":[8,15,62,109,135,149,179,196,237,247,266],"phase":[9],"distortion":[10],"greatly":[11],"reduce":[12],"the":[13,47,50,57,63,91,98,111,115,138,146,150,167,173,176,180,188,193,197,203,208,213,228,242,255,260,264],"resolution":[14,265],"signal-to-noise":[16],"ratio":[17],"(SNR)":[18],"of":[19,49,59,65,114,230,268],"data,":[21],"causing":[22],"changes":[23],"in":[24,78],"attributes":[26],"much":[27],"greater":[28],"than":[29],"other":[30],"factors.":[31],"Inverse":[32],"Q":[33,53,75,169,258],"filtering":[34,76,101],"is":[35,157,184,199,218],"a":[36,71,79,85,121,161],"common":[37],"method":[38,77,244,262],"to":[39,96,140,187,191,206,221,254],"compensate":[40,249],"for":[41,130,145,250],"these":[42],"undesirable":[43],"effects.":[44],"To":[45],"overcome":[46],"drawbacks":[48],"traditional":[51],"inverse":[52,74,257],"filtering,":[54,259],"such":[55],"as":[56,143,153],"difficulty":[58],"parameter":[60],"selection":[61],"instability":[64,113],"amplitude":[67,116],"compensation,":[68],"we":[69,119],"propose":[70],"new":[72],"unsupervised":[73,231,243],"deep":[80],"learning":[81],"(DL)":[82],"framework,":[83],"using":[84,160],"forward":[86,162],"operator":[88,164],"based":[89],"on":[90],"theory":[95],"drive":[97],"network.":[99],"The":[100,155,233],"strategy":[102],"does":[103],"not":[104],"require":[105],"actual":[106],"training":[107],"labels":[108],"avoids":[110],"numerical":[112],"compensation.":[117],"First,":[118],"design":[120],"hybrid":[122],"convolutional":[123],"neural":[124],"network":[125,148,190,194,204],"bidirectional":[126],"LSTM":[127],"(CNN-BiLSTM)-attention":[128],"model":[129],"multivariate":[131],"time":[132],"series":[133],"prediction":[134,215],"then":[136,158],"take":[137],"data":[139,152,178,183,224,239],"be":[141],"compensated":[142,151],"input":[144,182],"DL":[147,189],"output.":[154],"output":[156],"attenuated":[159,177],"constructed":[165],"from":[166],"model.":[170],"After":[171],"that,":[172],"error":[174,198],"between":[175],"original":[181],"transmitted":[185],"back":[186],"modify":[192],"output,":[195],"minimized":[200],"optimizing":[202],"parameters":[205],"generate":[207],"final":[209],"compensation":[210],"result.":[211],"In":[212],"entire":[214],"process,":[216],"there":[217],"no":[219],"need":[220],"produce":[222],"unattenuated":[223],"labels,":[225],"which":[226],"achieves":[227],"effect":[229],"learning.":[232],"results":[234],"with":[235],"synthetic":[236],"field":[238],"demonstrate":[240],"that":[241],"can":[245],"effectively":[246],"stably":[248],"signals.":[252],"Compared":[253],"classical":[256],"proposed":[261],"improves":[263],"SNR":[267],"records.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
