{"id":"https://openalex.org/W4403211107","doi":"https://doi.org/10.1109/tgrs.2024.3476345","title":"Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification","display_name":"Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403211107","doi":"https://doi.org/10.1109/tgrs.2024.3476345"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3476345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3476345","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/A5057428985","display_name":"Xingchen Shi","orcid":"https://orcid.org/0000-0001-9040-150X"},"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/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchen Shi","raw_affiliation_strings":["Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9040-150X","affiliations":[{"raw_affiliation_string":"Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018095530","display_name":"Shijun Cheng","orcid":"https://orcid.org/0000-0001-8868-7967"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Shijun Cheng","raw_affiliation_strings":["Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-8868-7967","affiliations":[{"raw_affiliation_string":"Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050539312","display_name":"Weijian Mao","orcid":"https://orcid.org/0000-0002-3629-6179"},"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/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Mao","raw_affiliation_strings":["Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3629-6179","affiliations":[{"raw_affiliation_string":"Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032878690","display_name":"Wei Ouyang","orcid":"https://orcid.org/0000-0002-1123-7076"},"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/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ouyang","raw_affiliation_strings":["Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1123-7076","affiliations":[{"raw_affiliation_string":"Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Research Center for Computational and Exploration Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3554,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88298666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9940999746322632,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9656999707221985,"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/computer-science","display_name":"Computer science","score":0.5977617502212524},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.49319928884506226},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4710153341293335},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4593425691127777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42777904868125916},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4213506877422333},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41519176959991455},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38172948360443115},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.36201250553131104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34244096279144287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21915403008460999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977617502212524},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.49319928884506226},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4710153341293335},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4593425691127777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42777904868125916},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4213506877422333},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41519176959991455},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38172948360443115},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.36201250553131104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34244096279144287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21915403008460999},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3476345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3476345","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":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5949926651","display_name":null,"funder_award_id":"42130808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7016812345","display_name":null,"funder_award_id":"42204115","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":42,"referenced_works":["https://openalex.org/W1965124035","https://openalex.org/W2020205028","https://openalex.org/W2036132593","https://openalex.org/W2050296900","https://openalex.org/W2075567728","https://openalex.org/W2137229170","https://openalex.org/W2137503241","https://openalex.org/W2256563008","https://openalex.org/W2911424749","https://openalex.org/W2933193480","https://openalex.org/W2972528379","https://openalex.org/W3147262955","https://openalex.org/W3195481585","https://openalex.org/W4223536797","https://openalex.org/W4250482878","https://openalex.org/W4289767042","https://openalex.org/W4293298413","https://openalex.org/W4295788909","https://openalex.org/W4295886716","https://openalex.org/W4310856925","https://openalex.org/W4317612472","https://openalex.org/W4376481314","https://openalex.org/W4376866255","https://openalex.org/W4385245566","https://openalex.org/W4386241849","https://openalex.org/W4389040963","https://openalex.org/W4390066246","https://openalex.org/W4393207488","https://openalex.org/W4398142794","https://openalex.org/W4400379406","https://openalex.org/W4400524746","https://openalex.org/W4401493525","https://openalex.org/W6757817989","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6788990321","https://openalex.org/W6795779940","https://openalex.org/W6840815571","https://openalex.org/W6861495015","https://openalex.org/W6863475517","https://openalex.org/W6869732898","https://openalex.org/W6873912896"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Seismic":[0],"imaging":[1,68,83,100,179],"from":[2,70,105],"sparsely":[3],"acquired":[4],"data":[5,72,82,107,129,171],"faces":[6],"challenges":[7],"such":[8],"as":[9,73],"low":[10],"image":[11,121],"quality,":[12],"discontinuities,":[13],"and":[14,29,123,150,169,181],"migration":[15],"swing":[16],"artifacts.":[17],"Existing":[18],"convolutional":[19],"neural":[20],"network":[21,87,96],"(CNN)-based":[22],"methods":[23],"struggle":[24],"with":[25,77,113],"complex":[26],"feature":[27],"distributions":[28],"cannot":[30],"effectively":[31,164],"assess":[32],"uncertainty,":[33],"making":[34],"it":[35],"hard":[36],"to":[37,88],"evaluate":[38],"the":[39,62,67,86,90,95,99,110,137,141,145,151],"reliability":[40],"of":[41,80,140,154],"their":[42],"processed":[43],"results.":[44],"To":[45,143],"address":[46],"these":[47,166],"issues,":[48],"we":[49,65,157],"propose":[50],"a":[51,55,159],"new":[52],"method":[53,176],"using":[54,109],"generative":[56,111],"diffusion":[57],"model":[58],"(GDM).":[59],"Here,":[60],"in":[61,147],"training":[63],"phase,":[64],"use":[66],"results":[69,101],"sparse":[71,106,128],"conditional":[74,114],"input,":[75],"combined":[76],"noisy":[78],"versions":[79],"dense":[81],"results,":[84],"for":[85,102],"predict":[89,98],"added":[91],"noise.":[92],"After":[93],"training,":[94],"can":[97],"test":[103],"images":[104],"acquisition,":[108],"process":[112],"control.":[115],"This":[116],"GDM":[117],"not":[118],"only":[119],"improves":[120],"quality":[122,149,180],"removes":[124],"artifacts":[125],"caused":[126],"by":[127,135],"but":[130],"also":[131],"naturally":[132],"evaluates":[133],"uncertainty":[134,184],"leveraging":[136],"probabilistic":[138],"nature":[139],"GDM.":[142],"overcome":[144],"decline":[146],"generation":[148],"memory":[152],"burden":[153],"large-scale":[155],"images,":[156],"develop":[158],"patch":[160],"fusion":[161],"strategy":[162],"that":[163,174],"addresses":[165],"issues.":[167],"Synthetic":[168],"field":[170],"examples":[172],"demonstrate":[173],"our":[175],"significantly":[177],"enhances":[178],"provides":[182],"effective":[183],"quantification.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}