{"id":"https://openalex.org/W4393207488","doi":"https://doi.org/10.1109/tgrs.2024.3381193","title":"Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging","display_name":"Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393207488","doi":"https://doi.org/10.1109/tgrs.2024.3381193"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3381193","doi":"https://doi.org/10.1109/tgrs.2024.3381193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3381193","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","is_traditional":true,"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/A5092356109","display_name":"Hao Zhang","orcid":"https://orcid.org/0009-0000-3411-6958","observed_orcids":["https://orcid.org/0009-0000-3411-6958"]},"institutions":[{"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":"Hao Zhang","raw_affiliation_strings":["Department of Geophysics, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0000-3411-6958","affiliations":[{"raw_affiliation_string":"Department of Geophysics, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361018","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0001-7204-5310","observed_orcids":["https://orcid.org/0000-0001-7204-5310"]},"institutions":[{"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":"Yuanyuan Li","raw_affiliation_strings":["Department of Geophysics, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7204-5310","affiliations":[{"raw_affiliation_string":"Department of Geophysics, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046420497","display_name":"Jianping Huang","orcid":"https://orcid.org/0000-0003-0699-9911","observed_orcids":["https://orcid.org/0000-0003-0699-9911"]},"institutions":[{"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":"Jianping Huang","raw_affiliation_strings":["Department of Geophysics, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0699-9911","affiliations":[{"raw_affiliation_string":"Department of Geophysics, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":3.3436,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93622658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0006000000284984708,"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"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.0005000000237487257,"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/conditional-denoising-diffusion-probabilistic-model","display_name":"conditional denoising diffusion probabilistic model","score":0.8939999938011169},{"id":"https://openalex.org/keywords/seismic-diffraction-imaging","display_name":"seismic diffraction imaging","score":0.9200000166893005},{"id":"https://openalex.org/keywords/synthetic-training-data","display_name":"synthetic training data","score":0.6140000224113464},{"id":"https://openalex.org/keywords/u-net-comparison","display_name":"U-Net comparison","score":0.7950000166893005},{"id":"https://openalex.org/keywords/high-resolution-seismic-imaging","display_name":"high-resolution seismic imaging","score":0.6430000066757202}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6672976016998291},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.578285813331604},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.5401401519775391},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5345738530158997},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4725503623485565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4450061321258545},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4287590980529785},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.327913761138916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30189239978790283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13791286945343018},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12219363451004028},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3381193","doi":"https://doi.org/10.1109/tgrs.2024.3381193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3381193","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2997703073","display_name":null,"funder_award_id":"ZX20230152","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1982212085","https://openalex.org/W2025541763","https://openalex.org/W2036902387","https://openalex.org/W2038136655","https://openalex.org/W2044932672","https://openalex.org/W2061440731","https://openalex.org/W2107308393","https://openalex.org/W2108152240","https://openalex.org/W2125215986","https://openalex.org/W2129069237","https://openalex.org/W2169132560","https://openalex.org/W2194775991","https://openalex.org/W2333498734","https://openalex.org/W2626778328","https://openalex.org/W2765743018","https://openalex.org/W2776585113","https://openalex.org/W2801526137","https://openalex.org/W2913170515","https://openalex.org/W2914878049","https://openalex.org/W2915004230","https://openalex.org/W2967394486","https://openalex.org/W2980856693","https://openalex.org/W3036167779","https://openalex.org/W3047035577","https://openalex.org/W3047855151","https://openalex.org/W3092442149","https://openalex.org/W3096947210","https://openalex.org/W3138039964","https://openalex.org/W3138698612","https://openalex.org/W3155072588","https://openalex.org/W3162926177","https://openalex.org/W3217016622","https://openalex.org/W4283831077","https://openalex.org/W4288099666","https://openalex.org/W4307285799","https://openalex.org/W4307563140","https://openalex.org/W4322621717","https://openalex.org/W4361297495","https://openalex.org/W4376866255","https://openalex.org/W4386212347","https://openalex.org/W4389040963","https://openalex.org/W4391468387","https://openalex.org/W4403674961","https://openalex.org/W6854907166"],"related_works":["https://openalex.org/W7207639353","https://openalex.org/W4214598973","https://openalex.org/W4416091567","https://openalex.org/W3126046905","https://openalex.org/W4293088120","https://openalex.org/W3172274658","https://openalex.org/W4407519385","https://openalex.org/W2968510309","https://openalex.org/W7054941077","https://openalex.org/W4291717102"],"abstract_inverted_index":{"Seismic":[0,36],"diffractions":[1,18,41,121,129,177],"convey":[2],"important":[3],"wave":[4,69],"information":[5],"from":[6,122,178],"subsurface":[7],"geological":[8,50],"targets,":[9],"such":[10,65],"as":[11,66,159,167,202],"pinch-outs,":[12],"faults,":[13],"and":[14,33,42,72,109,163,186,199,219],"fractures.":[15],"However,":[16],"seismic":[17,24,58,120],"are":[19,130],"usually":[20],"ignored":[21],"in":[22,245],"conventional":[23],"imaging":[25,38,134,223],"process":[26],"due":[27],"to":[28,56,79,91,114,118,145,190],"their":[29],"comparatively":[30],"low":[31],"amplitude":[32],"overlapping":[34],"wavefield.":[35],"diffraction":[37,59,165,222],"utilizes":[39],"separated":[40,128],"can":[43,175,237],"provide":[44,238],"enhanced":[45],"images":[46],"of":[47,85,194,243,248],"the":[48,67,83,86,123,135,147,152,155,160,164,168,173,192,195,209,228,241,246],"complex":[49,92],"target.":[51],"Thus,":[52,111],"it":[53],"is":[54,100],"necessary":[55],"perform":[57],"separation":[60,87],"before":[61],"imaging.":[62],"Traditional":[63],"methods,":[64,75],"plane":[68],"destruction":[70],"(PWD)":[71],"deep":[73,103],"learning":[74],"have":[76],"been":[77],"used":[78,132],"separate":[80,119,176],"diffractions,":[81],"but":[82],"accuracy":[84],"deteriorates":[88],"when":[89],"applying":[90],"data.":[93],"Conditional":[94],"denoising":[95],"diffusion":[96],"probabilistic":[97],"model":[98,105],"(c-DDPM)":[99],"an":[101],"advanced":[102],"generative":[104],"with":[106,138,197,232],"high":[107,139,233],"tractability":[108],"flexibility.":[110],"we":[112],"propose":[113],"use":[115,142,182],"a":[116],"c-DDPM":[117,174,210,226,244],"full-wavefield":[124,156,179],"data":[125],"effectively.":[126],"The":[127,204,221],"then":[131],"for":[133,240],"small-scale":[136,229],"targets":[137,231],"resolution.":[140,234],"We":[141,181],"convolution":[143],"modeling":[144],"generate":[146],"training":[148,153],"dataset":[149,189],"efficiently.":[150],"In":[151],"process,":[154],"gathers":[157,166],"serve":[158],"conditioning":[161],"input":[162],"target":[169],"output.":[170],"After":[171],"training,":[172],"gathers.":[180],"two":[183],"synthetic":[184],"datasets":[185],"one":[187],"field":[188,247],"test":[191,205],"performance":[193,216],"c-DDPM,":[196],"PWD":[198,218],"U-Net":[200],"methods":[201],"comparison.":[203],"results":[206],"demonstrate":[207],"that":[208],"effectively":[211],"separates":[212],"diffraction,":[213],"showing":[214],"better":[215],"than":[217],"U-Net.":[220],"result":[224],"using":[225],"shows":[227],"discontinuous":[230],"Our":[235],"work":[236],"guidance":[239],"application":[242],"geophysics.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-03-27T00:00:00"}