{"id":"https://openalex.org/W3095997001","doi":"https://doi.org/10.1109/tgrs.2020.3019715","title":"Prestack Seismic Inversion With Data-Driven MRF-Based Regularization","display_name":"Prestack Seismic Inversion With Data-Driven MRF-Based Regularization","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3095997001","doi":"https://doi.org/10.1109/tgrs.2020.3019715","mag":"3095997001"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3019715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019715","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/A5088132899","display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0001-8003-3942"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8003-3942","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918834","display_name":"Jing Ba","orcid":"https://orcid.org/0000-0002-9861-0186"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ba","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9861-0186","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086814258","display_name":"Cong Luo","orcid":"https://orcid.org/0000-0002-8920-4119"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Luo","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8920-4119","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2686,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87451217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"59","issue":"8","first_page":"7122","last_page":"7136"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9991999864578247,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9991000294685364,"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/regularization","display_name":"Regularization (linguistics)","score":0.6581295728683472},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6098160147666931},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6041603684425354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904164910316467},{"id":"https://openalex.org/keywords/prestack","display_name":"Prestack","score":0.5864460468292236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5764068961143494},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5297898650169373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5239688754081726},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5169255137443542},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5144565105438232},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44410231709480286},{"id":"https://openalex.org/keywords/seismic-inversion","display_name":"Seismic inversion","score":0.41803067922592163},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.41371122002601624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26516926288604736},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.22240135073661804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20965370535850525},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20274516940116882},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.16355019807815552},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.1274188756942749},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1147366464138031}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6581295728683472},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6098160147666931},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6041603684425354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904164910316467},{"id":"https://openalex.org/C2776871995","wikidata":"https://www.wikidata.org/wiki/Q85794422","display_name":"Prestack","level":2,"score":0.5864460468292236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5764068961143494},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5297898650169373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5239688754081726},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5169255137443542},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5144565105438232},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44410231709480286},{"id":"https://openalex.org/C39267094","wikidata":"https://www.wikidata.org/wiki/Q7446968","display_name":"Seismic inversion","level":3,"score":0.41803067922592163},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.41371122002601624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26516926288604736},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.22240135073661804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20965370535850525},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20274516940116882},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.16355019807815552},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.1274188756942749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1147366464138031},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.0},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3019715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019715","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/G2428779219","display_name":null,"funder_award_id":"2019M661716","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3926884348","display_name":"\u5f39\u6027\u6ce2\u6563\u5c04\u8870\u51cf\u5bf9\u81f4\u5bc6\u7802\u5ca9\u975e\u5747\u8d28\u6027\u7684\u54cd\u5e94\u673a\u5236\u53ca\u5b9e\u9a8c\u7814\u7a76","funder_award_id":"41704109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G780527873","display_name":null,"funder_award_id":"41974123","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W769688649","https://openalex.org/W1512208174","https://openalex.org/W1538120041","https://openalex.org/W1579868249","https://openalex.org/W1971758257","https://openalex.org/W1991623636","https://openalex.org/W2001002651","https://openalex.org/W2008535112","https://openalex.org/W2024060531","https://openalex.org/W2030605379","https://openalex.org/W2046907657","https://openalex.org/W2048513469","https://openalex.org/W2080744942","https://openalex.org/W2082667383","https://openalex.org/W2083826621","https://openalex.org/W2091395190","https://openalex.org/W2105910985","https://openalex.org/W2107098959","https://openalex.org/W2136842429","https://openalex.org/W2141342801","https://openalex.org/W2149846618","https://openalex.org/W2160976682","https://openalex.org/W2163505942","https://openalex.org/W2396225734","https://openalex.org/W2571131383","https://openalex.org/W2589290140","https://openalex.org/W2591496053","https://openalex.org/W2591973940","https://openalex.org/W2598930919","https://openalex.org/W2732288588","https://openalex.org/W2734622155","https://openalex.org/W2766245580","https://openalex.org/W2768484487","https://openalex.org/W2800846474","https://openalex.org/W2902867040","https://openalex.org/W2908254338","https://openalex.org/W2930131565","https://openalex.org/W2972474213","https://openalex.org/W2980759829","https://openalex.org/W3098092317","https://openalex.org/W4247814523"],"related_works":["https://openalex.org/W2887200614","https://openalex.org/W2044634479","https://openalex.org/W3022185890","https://openalex.org/W3094031505","https://openalex.org/W2384635907","https://openalex.org/W4307884122","https://openalex.org/W2358131789","https://openalex.org/W2103055339","https://openalex.org/W2312986356","https://openalex.org/W2972474213"],"abstract_inverted_index":{"Regularization":[0],"is":[1,49,84,184,201],"effective":[2,51],"in":[3,8,53,175],"mitigating":[4],"the":[5,14,23,68,81,95,128,139,150,157,164,172,181,187,198,220,227],"ill-condition":[6],"existing":[7],"inverse":[9],"problems.":[10],"With":[11],"respect":[12],"to":[13,21,94,137,144],"ill-conditioned":[15],"prestack":[16,114],"seismic":[17,115,133],"inversion,":[18],"regularization":[19,43,90,111,151],"aims":[20],"stabilize":[22],"multiple":[24,122,154,188,209],"inverted":[25],"results":[26,189,210,221],"and,":[27],"essentially,":[28],"reconstruct":[29],"structural":[30,69,205,224],"features":[31,70],"of":[32,42,67,71,153,203],"subsurface":[33],"parameter":[34],"(model)":[35],"as":[36,38],"realistic":[37],"possible.":[39],"Among":[40],"variants":[41],"method,":[44],"Markov":[45],"random":[46],"field":[47],"(MRF)":[48],"an":[50],"approach":[52],"formulating":[54],"prior":[55,65,82,102],"constraint.":[56],"However,":[57],"standard":[58],"MRF-based":[59,118],"or":[60,100],"other":[61],"methods":[62],"often":[63],"require":[64],"knowledge":[66],"desired":[72],"models,":[73],"e.g.,":[74],"smoothness,":[75],"blockiness,":[76],"and":[77,192,207],"sparsity,":[78],"after":[79],"which":[80,180],"constraint":[83],"formulated.":[85],"Therefore,":[86],"such":[87],"a":[88,109],"model-driven":[89],"method":[91,140,200],"lacks":[92],"applicability":[93],"cases":[96],"with":[97,141,211],"geological":[98,145],"complexity":[99],"limited":[101],"knowledge.":[103],"In":[104,135],"this":[105],"article,":[106],"we":[107,147,162],"propose":[108],"data-driven":[110],"scheme":[112],"for":[113],"inversion.":[116],"The":[117],"constraints":[119],"formulated":[120],"by":[121,132,179],"orders":[123,155],"are":[124,190],"quantitatively":[125],"integrated":[126],"into":[127,171],"inversion":[129],"procedure":[130],"driven":[131],"data.":[134],"order":[136],"endow":[138],"high":[142],"adaptation":[143],"complexity,":[146],"iteratively":[148],"adjust":[149],"parameters":[152,170],"via":[156],"maximum":[158],"likelihood":[159],"estimator.":[160],"Besides,":[161],"incorporate":[163],"multivariate":[165],"Gaussian":[166],"distribution":[167],"among":[168],"elastic":[169],"model":[173],"update/perturbation":[174],"fast":[176],"simulated":[177],"annealing,":[178],"objective":[182],"function":[183],"optimized":[185],"while":[186],"correlated":[191],"stabilized.":[193],"Synthetic":[194],"tests":[195],"indicate":[196],"that":[197],"proposed":[199],"capable":[202],"revealing":[204],"details":[206,225],"achieving":[208],"less":[212],"uncertainty.":[213],"Field":[214],"application":[215],"provides":[216],"further":[217],"validation,":[218],"wherein":[219],"distinctly":[222],"reveal":[223],"within":[226],"target":[228],"formation.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
