{"id":"https://openalex.org/W4404035530","doi":"https://doi.org/10.1109/tgrs.2024.3489716","title":"Conditional Denoising Diffusion Probabilistic Model for Ground-Roll Attenuation","display_name":"Conditional Denoising Diffusion Probabilistic Model for Ground-Roll Attenuation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404035530","doi":"https://doi.org/10.1109/tgrs.2024.3489716"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3489716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3489716","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/A5101960252","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0003-4671-1580"},"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":["State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0003-4671-1580","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092356109","display_name":"Hao Zhang","orcid":"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":["State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0000-3411-6958","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046420497","display_name":"Jianping Huang","orcid":"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":["State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0003-0699-9911","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103121295","display_name":"Zhenchun Li","orcid":"https://orcid.org/0000-0001-7170-7538"},"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":"Zhenchun Li","raw_affiliation_strings":["State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-7170-7538","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Deep Oil and Gas, School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, 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":null,"apc_paid":null,"fwci":1.1,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73768149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13862","display_name":"Soil, Finite Element Methods","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9589999914169312,"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/attenuation","display_name":"Attenuation","score":0.6936877965927124},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.692189633846283},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6019240021705627},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5607298016548157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5117747187614441},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4577850103378296},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35470259189605713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3398740589618683},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11502021551132202},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10051336884498596}],"concepts":[{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6936877965927124},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.692189633846283},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6019240021705627},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5607298016548157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5117747187614441},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4577850103378296},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35470259189605713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3398740589618683},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11502021551132202},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10051336884498596},{"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.2024.3489716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3489716","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","id":"https://metadata.un.org/sdg/13","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G3055674373","display_name":null,"funder_award_id":"41821002","funder_id":"https://openalex.org/F4320322271","funder_display_name":"Science Fund for Creative Research Groups"},{"id":"https://openalex.org/G3091446426","display_name":null,"funder_award_id":"42474153","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/F4320322271","display_name":"Science Fund for Creative Research Groups","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1507654375","https://openalex.org/W1930495907","https://openalex.org/W1985883290","https://openalex.org/W1986754283","https://openalex.org/W1992000671","https://openalex.org/W1998211931","https://openalex.org/W2005243532","https://openalex.org/W2019900743","https://openalex.org/W2072820305","https://openalex.org/W2087422201","https://openalex.org/W2097961796","https://openalex.org/W2100962727","https://openalex.org/W2116892352","https://openalex.org/W2121166329","https://openalex.org/W2132092975","https://openalex.org/W2145167443","https://openalex.org/W2160814043","https://openalex.org/W2161094040","https://openalex.org/W2312635315","https://openalex.org/W2892108217","https://openalex.org/W2911424749","https://openalex.org/W3033271345","https://openalex.org/W3033655015","https://openalex.org/W3089369358","https://openalex.org/W3094255354","https://openalex.org/W3121370741","https://openalex.org/W3147262955","https://openalex.org/W3152714594","https://openalex.org/W3155072588","https://openalex.org/W3184393302","https://openalex.org/W3201066616","https://openalex.org/W3208869780","https://openalex.org/W3213444551","https://openalex.org/W4252593548","https://openalex.org/W4285277997","https://openalex.org/W4288099666","https://openalex.org/W4293298413","https://openalex.org/W4301399230","https://openalex.org/W4307563140","https://openalex.org/W4310856925","https://openalex.org/W4327744187","https://openalex.org/W4376866255","https://openalex.org/W4385245566","https://openalex.org/W4385453371","https://openalex.org/W4386212347","https://openalex.org/W4391020569","https://openalex.org/W4391559601","https://openalex.org/W4391936062","https://openalex.org/W4393207488","https://openalex.org/W4396495049","https://openalex.org/W4398142794","https://openalex.org/W4404341097","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6840815571","https://openalex.org/W6874131473"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2186374051","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W2145835458","https://openalex.org/W2059332403","https://openalex.org/W2066034608","https://openalex.org/W1990381203"],"abstract_inverted_index":{"Ground-roll":[0],"attenuation":[1],"is":[2],"a":[3,87],"challenging":[4,74],"seismic":[5,10,32,47,63,132,148,234],"processing":[6],"task":[7],"in":[8,68,227],"land":[9],"surveys.":[11],"The":[12,34,137,193,217],"ground-roll":[13,56,77,97,230],"coherent":[14],"noise":[15,78,98,231],"with":[16,213],"low":[17],"frequency":[18],"and":[19,46,62,99,114,169,178,189,202,239],"high":[20],"amplitude":[21],"seriously":[22],"contaminates":[23],"the":[24,29,39,43,50,55,59,69,96,101,106,110,115,120,123,127,131,135,143,147,160,166,176,186,190,197,222,229,233,237],"valuable":[25],"reflection":[26,154],"events,":[27],"corrupting":[28],"quality":[30],"of":[31,42,180],"data.":[33,192],"transform-based":[35],"filtering":[36],"methods":[37,194],"leverage":[38],"distinct":[40],"characteristics":[41],"ground":[44,60,138,170],"roll":[45,61,139,171],"reflections":[48,64,102],"within":[49],"transform":[51,70,201],"domain":[52],"to":[53,75,85,94,162,207],"attenuate":[54,95],"noise.":[57],"However,":[58],"often":[65],"share":[66],"overlaps":[67],"domain,":[71],"making":[72],"it":[73],"remove":[76],"without":[79],"attenuating":[80,228],"useful":[81],"reflections.":[82],"We":[83,104,173],"propose":[84],"apply":[86],"conditional":[88],"diffusion":[89],"denoising":[90],"probabilistic":[91],"model":[92],"(c-DDPM)":[93],"recover":[100],"efficiently.":[103],"prepare":[105],"training":[107,121],"dataset":[108],"using":[109,185],"finite-difference":[111],"modeling":[112,117],"method":[113,183,224],"convolution":[116],"method.":[118,216],"After":[119],"process,":[122],"c-DDPM":[124,161],"can":[125],"generate":[126],"clean":[128,144,167],"data":[129,133,145,149,168,188,235],"given":[130],"as":[134],"condition.":[136],"obtained":[140],"by":[141,184],"subtracting":[142],"from":[146,232],"might":[150],"contain":[151],"some":[152],"residual":[153],"energy.":[155],"Thus,":[156],"we":[157],"further":[158],"improve":[159],"allow":[163],"for":[164,211],"generating":[165],"simultaneously.":[172],"then":[174],"demonstrate":[175],"feasibility":[177],"effectiveness":[179],"our":[181,214],"proposed":[182,215,223],"synthetic":[187],"field":[191],"based":[195],"on":[196],"local":[198],"time-frequency":[199],"(LTF)":[200],"U-Net":[203,240],"are":[204],"also":[205],"applied":[206],"these":[208],"two":[209],"examples":[210],"comparison":[212],"test":[218],"results":[219],"show":[220],"that":[221],"performs":[225],"better":[226],"than":[236],"LTF":[238],"methods.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
