{"id":"https://openalex.org/W4409077015","doi":"https://doi.org/10.1109/tgrs.2025.3556863","title":"Regularization by Denoising for the Least-Squares Reverse Time Migration With Source Encoding","display_name":"Regularization by Denoising for the Least-Squares Reverse Time Migration With Source Encoding","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409077015","doi":"https://doi.org/10.1109/tgrs.2025.3556863"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3556863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556863","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/A5104035915","display_name":"Guangshuai Peng","orcid":"https://orcid.org/0009-0002-0184-7935"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangshuai Peng","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0002-0184-7935","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936036","display_name":"Xiangbo Gong","orcid":"https://orcid.org/0000-0002-1628-5210"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Gong","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-1628-5210","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048300080","display_name":"Shiqi Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Lv","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0000-6998-9206","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036864485","display_name":"Zhiyu Cao","orcid":"https://orcid.org/0009-0008-2234-8530"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Cao","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0008-2234-8530","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072354887","display_name":"Yingkaer Nabi","orcid":"https://orcid.org/0000-0002-6396-9156"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingkaer Nabi","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-6396-9156","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104216174","display_name":"Zhuo Xu","orcid":"https://orcid.org/0000-0001-8178-3307"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Xu","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-8178-3307","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9024,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69487221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023770570755005},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5765000581741333},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5585776567459106},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5258727073669434},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4712653160095215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4583309590816498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39449435472488403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3808045983314514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2665880620479584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19845238327980042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023770570755005},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5765000581741333},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5585776567459106},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5258727073669434},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4712653160095215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4583309590816498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39449435472488403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3808045983314514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2665880620479584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19845238327980042},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3556863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556863","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":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G533486986","display_name":null,"funder_award_id":"2024ZD1004101","funder_id":"https://openalex.org/F4320330373","funder_display_name":"Research and Innovation in Science and Technology Project"},{"id":"https://openalex.org/G7237630346","display_name":null,"funder_award_id":"AB21196028","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7274127777","display_name":null,"funder_award_id":"42274164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G796698178","display_name":"\u57fa\u4e8e\u538b\u7f29\u611f\u77e5\u7684\u91d1\u5c5e\u77ff\u5730\u9707\u6700\u5c0f\u4e8c\u4e58\u9006\u65f6\u504f\u79fb\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42074151","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/F4320330373","display_name":"Research and Innovation in Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1865538694","https://openalex.org/W1977466271","https://openalex.org/W1982642244","https://openalex.org/W2008374418","https://openalex.org/W2011181254","https://openalex.org/W2019489430","https://openalex.org/W2032301334","https://openalex.org/W2060442749","https://openalex.org/W2097061348","https://openalex.org/W2097594502","https://openalex.org/W2103559027","https://openalex.org/W2112349215","https://openalex.org/W2115528090","https://openalex.org/W2157219658","https://openalex.org/W2157556196","https://openalex.org/W2163772246","https://openalex.org/W2164452299","https://openalex.org/W2164772098","https://openalex.org/W2170640432","https://openalex.org/W2192125225","https://openalex.org/W2256563008","https://openalex.org/W2297150361","https://openalex.org/W2308116302","https://openalex.org/W2312387795","https://openalex.org/W2333701286","https://openalex.org/W2335692253","https://openalex.org/W2342428708","https://openalex.org/W2573726823","https://openalex.org/W2695648896","https://openalex.org/W2751620892","https://openalex.org/W2805167149","https://openalex.org/W2878952049","https://openalex.org/W2948780012","https://openalex.org/W2988197707","https://openalex.org/W2990143465","https://openalex.org/W2997487283","https://openalex.org/W2999778662","https://openalex.org/W3044334000","https://openalex.org/W3127176513","https://openalex.org/W3162892617","https://openalex.org/W3200625292","https://openalex.org/W3202641266","https://openalex.org/W4205386147","https://openalex.org/W4206567543","https://openalex.org/W4211007665","https://openalex.org/W4282028826","https://openalex.org/W4311316637","https://openalex.org/W4312115409","https://openalex.org/W4392473186","https://openalex.org/W4401869584","https://openalex.org/W4401875495","https://openalex.org/W6760820039"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W2898682874","https://openalex.org/W2386709048","https://openalex.org/W3209466624"],"abstract_inverted_index":{"The":[0],"least-squares":[1],"reverse":[2],"time":[3],"migration":[4,198],"(LSRTM),":[5],"through":[6],"iterative":[7],"minimization":[8],"of":[9,28,45,66,84,149,164,192,231],"residuals":[10],"between":[11],"seismic":[12,55,68,237],"observational":[13],"and":[14,160,179,200,215],"simulated":[15],"data,":[16],"can":[17,125],"produce":[18],"high-quality":[19],"imaging":[20,69,78,190],"results.":[21,79],"However,":[22],"it":[23],"comes":[24],"at":[25],"the":[26,42,49,64,67,82,106,118,121,130,141,147,150,162,168,173,176,180,189,232],"expense":[27],"high":[29],"computational":[30],"costs":[31],"due":[32],"to":[33,145,211],"many":[34],"wave-equation":[35],"simulations":[36],"in":[37,77,87,228],"each":[38],"iteration.":[39,169],"To":[40,80],"enhance":[41],"inversion":[43,131,158,194,230],"efficiency":[44],"LSRTM,":[46,89],"we":[47,90],"embraced":[48],"source":[50,234],"encoding":[51],"strategy,":[52,120],"merging":[53],"multiple":[54],"shot":[56],"gathers":[57],"into":[58,129,140],"several":[59],"supergather":[60],"shots,":[61],"thereby":[62],"reducing":[63],"scale":[65],"problem.":[70],"This,":[71],"however,":[72],"introduced":[73],"severe":[74],"crosstalk":[75,85,165,203,226],"noise":[76,86,166,204,227],"mitigate":[81],"issue":[83],"source-encoded":[88],"proposed":[91,218],"an":[92,134,229],"improved":[93],"multisource":[94],"LSRTM":[95],"method":[96,219],"with":[97,157,207],"a":[98,221],"nonsubsampled":[99],"Shearlet":[100],"transform":[101],"(NSST)":[102],"scheme":[103],"based":[104],"on":[105,172],"regularization":[107],"by":[108,195],"denoising":[109,123,136],"(RED)":[110],"framework,":[111],"which":[112],"was":[113],"named":[114],"as":[115],"RED-LSRTM.":[116],"Employing":[117],"RED":[119],"NSST":[122,135],"engine":[124],"be":[126],"flexibly":[127],"integrated":[128,139],"process.":[132],"Specifically,":[133],"operator":[137],"is":[138],"gradient":[142,155],"update":[143],"step":[144],"optimize":[146],"solution":[148],"inverse":[151],"problem,":[152],"effectively":[153,187],"combining":[154],"optimization":[156],"denoising,":[159],"enabling":[161],"suppression":[163],"throughout":[167],"Numerical":[170],"tests":[171],"Layer":[174],"model,":[175,178],"Salt":[177],"Marmousi":[181],"model":[182],"validated":[183],"that":[184],"NSST-based":[185],"RED-LSRTM":[186],"enhanced":[188],"quality":[191],"simultaneous-sources":[193],"alleviating":[196],"more":[197,202],"artifacts":[199],"suppressing":[201],"when":[205],"compared":[206],"standard":[208],"LSRTM.":[209],"Owing":[210],"its":[212],"simplicity,":[213],"flexibility,":[214],"effectiveness,":[216],"our":[217],"provides":[220],"reliable":[222],"choice":[223],"for":[224],"mitigating":[225],"simultaneous":[233],"or":[235],"blended":[236],"data.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}