{"id":"https://openalex.org/W4415748344","doi":"https://doi.org/10.1109/jstars.2025.3628014","title":"Well-Constrained Conditional Generative Adversarial Network for Weak Seismic Signal Enhancement","display_name":"Well-Constrained Conditional Generative Adversarial Network for Weak Seismic Signal Enhancement","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415748344","doi":"https://doi.org/10.1109/jstars.2025.3628014"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3628014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3628014","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3628014","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jiao Wang","orcid":"https://orcid.org/0000-0001-5693-8928"},"institutions":[{"id":"https://openalex.org/I4210155952","display_name":"Qingdao Huanghai University","ror":"https://ror.org/05e1zbn94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155952"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiao Wang","raw_affiliation_strings":["Qingdao Huanghai University, Qingdao, China","Qingdao Huanghai University, Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-5693-8928","affiliations":[{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, China","institution_ids":["https://openalex.org/I4210155952"]},{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210155952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045032649","display_name":"Youcai Yu","orcid":"https://orcid.org/0000-0001-7652-583X"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youcai Yu","raw_affiliation_strings":["School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, China","School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-7652-583X","affiliations":[{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Geosciences, the Laboratory for Marine Mineral Resources, and the National Laboratory for Marine Science and Technology, China University of Petroleum, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014670681","display_name":"Huaifeng Sun","orcid":"https://orcid.org/0000-0001-5679-1399"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaifeng Sun","raw_affiliation_strings":["Laboratory of Earth Electromagnetic Exploration, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5679-1399","affiliations":[{"raw_affiliation_string":"Laboratory of Earth Electromagnetic Exploration, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017860719","display_name":"Xiaomin Ma","orcid":"https://orcid.org/0009-0000-3791-0751"},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuedong Ma","raw_affiliation_strings":["Sinopec Petroleum Engineering Design Company, Ltd, Dongying, China","Sinopec Petroleum Engineering Design Co., Ltd, Dongying, China"],"raw_orcid":"https://orcid.org/0009-0000-3791-0751","affiliations":[{"raw_affiliation_string":"Sinopec Petroleum Engineering Design Company, Ltd, Dongying, China","institution_ids":["https://openalex.org/I106994412"]},{"raw_affiliation_string":"Sinopec Petroleum Engineering Design Co., Ltd, Dongying, China","institution_ids":["https://openalex.org/I106994412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074580292","display_name":"Guanqun Sheng","orcid":"https://orcid.org/0000-0002-3435-825X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Sheng","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023109741","display_name":"Peixue Liu","orcid":"https://orcid.org/0000-0002-9846-4721"},"institutions":[{"id":"https://openalex.org/I4210155952","display_name":"Qingdao Huanghai University","ror":"https://ror.org/05e1zbn94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixue Liu","raw_affiliation_strings":["Qingdao Huanghai University, Qingdao, China","Qingdao Huanghai University, Qingdao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, China","institution_ids":["https://openalex.org/I4210155952"]},{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210155952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100459047","display_name":"Yujie Chen","orcid":"https://orcid.org/0000-0003-2513-7559"},"institutions":[{"id":"https://openalex.org/I4210155952","display_name":"Qingdao Huanghai University","ror":"https://ror.org/05e1zbn94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Chen","raw_affiliation_strings":["Qingdao Huanghai University, Qingdao, China","Qingdao Huanghai University, Qingdao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, China","institution_ids":["https://openalex.org/I4210155952"]},{"raw_affiliation_string":"Qingdao Huanghai University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210155952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155952"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30937227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"28102","last_page":"28110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9646999835968018,"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":0.9646999835968018,"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":0.01979999989271164,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.005200000014156103,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/overfitting","display_name":"Overfitting","score":0.7685999870300293},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4823000133037567},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.47999998927116394},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4489000141620636},{"id":"https://openalex.org/keywords/geophysical-imaging","display_name":"Geophysical imaging","score":0.43070000410079956},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42149999737739563},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3968000113964081},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3788999915122986},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3580000102519989}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7685999870300293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474999785423279},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4823000133037567},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C79675319","wikidata":"https://www.wikidata.org/wiki/Q5535575","display_name":"Geophysical imaging","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42989999055862427},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37940001487731934},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.33309999108314514},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32260000705718994},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.29409998655319214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26840001344680786},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C30947920","wikidata":"https://www.wikidata.org/wiki/Q2133491","display_name":"Seismic noise","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3628014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3628014","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc12499249104e3eb195ec660b8be620","is_oa":true,"landing_page_url":"https://doaj.org/article/bc12499249104e3eb195ec660b8be620","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 28102-28110 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3628014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3628014","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4797208216","display_name":null,"funder_award_id":"ZR2022QD112","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Seismic":[0],"images":[1],"are":[2,15],"critical":[3],"for":[4],"understanding":[5],"subsurface":[6,21],"geology":[7],"and":[8,23,29,40,54,64,123,144,162],"resource":[9],"distribution.":[10],"However,":[11],"deep":[12],"seismic":[13,68,169],"signals":[14],"often":[16],"extremely":[17],"weak":[18,140],"due":[19],"to":[20,56,105,111,138,167],"absorption":[22],"random":[24],"noise,":[25,42,49],"limiting":[26],"imaging":[27],"resolution":[28,39,163],"accurate":[30],"geological":[31],"interpretation.":[32],"Generative":[33],"adversarial":[34,119],"networks":[35],"(GANs)":[36],"can":[37],"enhance":[38],"suppress":[41],"but":[43],"their":[44],"unconstrained":[45],"generation":[46],"may":[47],"overfit":[48],"produce":[50],"geologically":[51],"inconsistent":[52],"artifacts,":[53],"fail":[55],"recover":[57,139],"high-":[58],"frequency":[59],"details.":[60,146],"Furthermore,":[61],"the":[62,71,103,115,136,153],"high-dimensional":[63],"complex":[65],"nature":[66],"of":[67,73],"data":[69,93,170],"increases":[70],"risk":[72],"mode":[74,125],"collapse,":[75],"reducing":[76,114],"output":[77],"diversity.":[78],"To":[79],"address":[80],"these":[81],"challenges,":[82],"we":[83],"propose":[84],"a":[85,95,107,130],"well-constrained":[86],"conditional":[87,99],"GAN":[88],"(W-CGAN)":[89],"that":[90,152],"incorporates":[91],"well-log":[92],"as":[94],"geophysical":[96],"constraint.":[97],"This":[98],"guidance":[100],"explicitly":[101],"directs":[102],"generator":[104],"learn":[106],"mapping":[108],"from":[109],"low-":[110],"high-resolution":[112],"signals,":[113],"solution":[116],"space,":[117],"mitigating":[118],"training":[120],"blind":[121],"spots,":[122],"lowering":[124],"collapse":[126],"risk.":[127],"Additionally,":[128],"integrating":[129],"VGG-":[131],"based":[132],"perceptual":[133],"loss":[134],"enables":[135],"model":[137],"effective":[141],"signal":[142],"energy":[143],"high-frequency":[145],"Experiments":[147],"on":[148,181],"synthetic":[149,182],"datasets":[150],"demonstrate":[151],"proposed":[154],"method":[155],"substantially":[156],"improves":[157],"weak-signal":[158],"recovery,":[159],"noise":[160],"suppression,":[161],"enhancement,":[164],"while":[165],"applications":[166],"field":[168],"further":[171],"validate":[172],"its":[173],"robust":[174],"generalization":[175],"capability,":[176],"even":[177],"when":[178],"trained":[179],"exclusively":[180],"data.":[183]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-31T00:00:00"}