{"id":"https://openalex.org/W4407375757","doi":"https://doi.org/10.1109/tgrs.2025.3538530","title":"An Efficient Point Spread Function Inversion Method for Image-Domain One-Way Wave-Equation Least-Squares Migration","display_name":"An Efficient Point Spread Function Inversion Method for Image-Domain One-Way Wave-Equation Least-Squares Migration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407375757","doi":"https://doi.org/10.1109/tgrs.2025.3538530"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3538530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3538530","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/A5080466492","display_name":"Cewen Liu","orcid":"https://orcid.org/0000-0001-5721-3785"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cewen Liu","raw_affiliation_strings":["Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5721-3785","affiliations":[{"raw_affiliation_string":"Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019625349","display_name":"Mengyao Sun","orcid":"https://orcid.org/0000-0002-4911-3861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengyao Sun","raw_affiliation_strings":["School of Fire Protection Engineering, China People’s Police University, Langfang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Fire Protection Engineering, China People’s Police University, Langfang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022763546","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0002-4461-8609"},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["BGP, CNPC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BGP, CNPC, Beijing, China","institution_ids":["https://openalex.org/I98227222"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076577751","display_name":"Nanxun Dai","orcid":"https://orcid.org/0000-0002-4165-1243"},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanxun Dai","raw_affiliation_strings":["BGP, CNPC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BGP, CNPC, Beijing, China","institution_ids":["https://openalex.org/I98227222"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102894619","display_name":"Mingjie Guo","orcid":"https://orcid.org/0000-0003-3012-3733"},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Guo","raw_affiliation_strings":["BGP, CNPC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BGP, CNPC, Beijing, China","institution_ids":["https://openalex.org/I98227222"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031545295","display_name":"Haohuan Fu","orcid":"https://orcid.org/0000-0002-6982-2235"},"institutions":[{"id":"https://openalex.org/I4210110997","display_name":"Ministry of Education","ror":"https://ror.org/01xexqx38","country_code":"ME","type":"government","lineage":["https://openalex.org/I4210110997"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","ME"],"is_corresponding":false,"raw_author_name":"Haohuan Fu","raw_affiliation_strings":["Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Tsinghua University, Beijing, China","Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6982-2235","affiliations":[{"raw_affiliation_string":"Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210110997"]},{"raw_affiliation_string":"Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3754,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73857265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9907000064849854,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6423417329788208},{"id":"https://openalex.org/keywords/wave-equation","display_name":"Wave equation","score":0.49362194538116455},{"id":"https://openalex.org/keywords/seismic-migration","display_name":"Seismic migration","score":0.43631428480148315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43190544843673706},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4246752858161926},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4108372926712036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3823902904987335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37141090631484985},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.34144526720046997},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3231337070465088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2751634120941162},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.19974973797798157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18844425678253174},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11395734548568726},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.09637182950973511}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6423417329788208},{"id":"https://openalex.org/C59696629","wikidata":"https://www.wikidata.org/wiki/Q193846","display_name":"Wave equation","level":2,"score":0.49362194538116455},{"id":"https://openalex.org/C118496448","wikidata":"https://www.wikidata.org/wiki/Q2111620","display_name":"Seismic migration","level":2,"score":0.43631428480148315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43190544843673706},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4246752858161926},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4108372926712036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3823902904987335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37141090631484985},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.34144526720046997},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3231337070465088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2751634120941162},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.19974973797798157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18844425678253174},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11395734548568726},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.09637182950973511},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0},{"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.2025.3538530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3538530","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":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1277674486","display_name":null,"funder_award_id":"2021ZG02","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G6690759662","display_name":null,"funder_award_id":"T2125006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7369823720","display_name":null,"funder_award_id":"2021ZG03","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W174107858","https://openalex.org/W1966320522","https://openalex.org/W1971772286","https://openalex.org/W1984235980","https://openalex.org/W1990070812","https://openalex.org/W2008374418","https://openalex.org/W2009552164","https://openalex.org/W2012790988","https://openalex.org/W2019699602","https://openalex.org/W2041353507","https://openalex.org/W2042751508","https://openalex.org/W2048397534","https://openalex.org/W2069684500","https://openalex.org/W2075567728","https://openalex.org/W2076211048","https://openalex.org/W2076513090","https://openalex.org/W2084420727","https://openalex.org/W2101027232","https://openalex.org/W2139450797","https://openalex.org/W2153171590","https://openalex.org/W2157463343","https://openalex.org/W2161034784","https://openalex.org/W2256563008","https://openalex.org/W2318192414","https://openalex.org/W2331726638","https://openalex.org/W2333523951","https://openalex.org/W2538403209","https://openalex.org/W2595971953","https://openalex.org/W2620316195","https://openalex.org/W2620443034","https://openalex.org/W2769476321","https://openalex.org/W2792247833","https://openalex.org/W2801000978","https://openalex.org/W2809281510","https://openalex.org/W2890197297","https://openalex.org/W2948780012","https://openalex.org/W2988197707","https://openalex.org/W2990100942","https://openalex.org/W3022164069","https://openalex.org/W3089780802","https://openalex.org/W3134719895","https://openalex.org/W4220919056","https://openalex.org/W4224948550","https://openalex.org/W4283726572","https://openalex.org/W4289792827","https://openalex.org/W4313152764","https://openalex.org/W4375928781","https://openalex.org/W4376481163","https://openalex.org/W4376610930","https://openalex.org/W4385627012"],"related_works":["https://openalex.org/W829913547","https://openalex.org/W11839861","https://openalex.org/W2141161884","https://openalex.org/W2362406241","https://openalex.org/W3020926013","https://openalex.org/W2402311336","https://openalex.org/W2752147834","https://openalex.org/W2352006696","https://openalex.org/W4285132434","https://openalex.org/W2326858621"],"abstract_inverted_index":{"Image-domain":[0],"least-squares":[1],"migration":[2,14,43,67,182],"(LSM)":[3],"has":[4,59],"demonstrated":[5],"promising":[6],"potential":[7],"in":[8,118],"enhancing":[9],"the":[10,38,42,64,74,81,116,119,131,136,154],"spatial":[11,120],"resolution":[12,65],"of":[13,41,66,135,157],"images":[15,68,179],"effectively":[16],"and":[17,76,133,162,184,199,202,208],"efficiently.":[18],"However,":[19],"existing":[20],"image-domain":[21,100],"approaches":[22],"are":[23],"mostly":[24],"based":[25],"on":[26,69],"a":[27,32,70,95,106,111,126],"local-stationary":[28,33],"assumption,":[29],"which":[30],"estimates":[31],"deblurring":[34,46,151],"filter":[35],"to":[36,62,148],"process":[37],"corresponding":[39],"subsection":[40],"image.":[44],"The":[45,140],"precision":[47],"is":[48],"not":[49],"fine":[50],"enough.":[51],"A":[52],"point":[53],"spread":[54],"function":[55,129,143],"(PSF)":[56],"deconvolution":[57],"method":[58,98,175,190],"been":[60],"proposed":[61,172,189],"improve":[63],"point-wise":[71],"bias.":[72],"Nevertheless,":[73],"computational":[75,203],"storage":[77,201],"costs,":[78,92],"particularly":[79],"during":[80,153],"PSF":[82,96,117,137,173],"process,":[83],"remain":[84],"significant.":[85],"To":[86],"achieve":[87,110],"high-resolution":[88,178],"imaging":[89],"with":[90,180],"reduced":[91,181,200],"we":[93,109,124],"propose":[94],"inversion":[97,138,174],"for":[99,114,130,210],"one-way":[101],"wave-equation":[102],"(OWE)":[103],"LSM.":[104],"Leveraging":[105],"deep-learning":[107],"optimizer,":[108],"rapid":[112],"convergence":[113],"inverting":[115],"domain.":[121],"In":[122],"addition,":[123],"introduce":[125],"rescaled":[127,141],"loss":[128,142],"stabilization":[132],"acceleration":[134],"process.":[139],"also":[144],"makes":[145],"it":[146,166,206],"possible":[147],"obtain":[149],"decent":[150],"results":[152],"early":[155],"stages":[156],"iterations.":[158],"Through":[159],"some":[160],"synthetic":[161],"field":[163],"dataset":[164],"experiments,":[165],"can":[167,176],"be":[168],"determined":[169],"that":[170],"our":[171,188],"produce":[177],"artifacts":[183],"balanced":[185],"amplitude.":[186],"Additionally,":[187],"boasts":[191],"noniterative":[192],"characteristics,":[193],"high":[194],"parallelizability,":[195],"freedom":[196],"from":[197],"regularization,":[198],"overhead,":[204],"rendering":[205],"efficient":[207],"well-suited":[209],"practical":[211],"applications.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}