{"id":"https://openalex.org/W4313152764","doi":"https://doi.org/10.1109/tgrs.2022.3215560","title":"2-D and 3-D Image-Domain Least-Squares Reverse Time Migration Through Point Spread Functions and Excitation-Amplitude Imaging Condition","display_name":"2-D and 3-D Image-Domain Least-Squares Reverse Time Migration Through Point Spread Functions and Excitation-Amplitude Imaging Condition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313152764","doi":"https://doi.org/10.1109/tgrs.2022.3215560"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3215560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3215560","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/A5019140146","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-6461-3522"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Research Center of Offshore Oil and Gas Exploration, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Research Center of Offshore Oil and Gas Exploration, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077552109","display_name":"Jinghuai Gao","orcid":"https://orcid.org/0000-0002-0448-8555"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghuai Gao","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Research Center of Offshore Oil and Gas Exploration, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Research Center of Offshore Oil and Gas Exploration, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019140146"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.9734,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85005221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9973999857902527,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.6560370326042175},{"id":"https://openalex.org/keywords/seismic-migration","display_name":"Seismic migration","score":0.569283127784729},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5500090718269348},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5325628519058228},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5103442072868347},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5040003657341003},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.49688079953193665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4772458076477051},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.41912198066711426},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4142618775367737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3441663384437561},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30343401432037354},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3016263544559479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2263965606689453},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11201679706573486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560370326042175},{"id":"https://openalex.org/C118496448","wikidata":"https://www.wikidata.org/wiki/Q2111620","display_name":"Seismic migration","level":2,"score":0.569283127784729},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5500090718269348},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5325628519058228},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5103442072868347},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5040003657341003},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.49688079953193665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4772458076477051},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41912198066711426},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4142618775367737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3441663384437561},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30343401432037354},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3016263544559479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2263965606689453},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11201679706573486},{"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/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3215560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3215560","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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2286357082","display_name":null,"funder_award_id":"2020YFA0713403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7685781024","display_name":null,"funder_award_id":"2020YFA0713400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1970333790","https://openalex.org/W1990070812","https://openalex.org/W1993236759","https://openalex.org/W1994595608","https://openalex.org/W2006196669","https://openalex.org/W2008374418","https://openalex.org/W2012790988","https://openalex.org/W2019489430","https://openalex.org/W2024555860","https://openalex.org/W2041353507","https://openalex.org/W2041378486","https://openalex.org/W2042751508","https://openalex.org/W2044760503","https://openalex.org/W2044804449","https://openalex.org/W2069684500","https://openalex.org/W2076211048","https://openalex.org/W2100556411","https://openalex.org/W2120482091","https://openalex.org/W2125916088","https://openalex.org/W2140130644","https://openalex.org/W2145522180","https://openalex.org/W2157463343","https://openalex.org/W2164772098","https://openalex.org/W2168357012","https://openalex.org/W2169244543","https://openalex.org/W2180935064","https://openalex.org/W2256563008","https://openalex.org/W2297150361","https://openalex.org/W2314948407","https://openalex.org/W2317837163","https://openalex.org/W2323308174","https://openalex.org/W2464381215","https://openalex.org/W2510338478","https://openalex.org/W2559026145","https://openalex.org/W2616386424","https://openalex.org/W2746636933","https://openalex.org/W2769476321","https://openalex.org/W2792360388","https://openalex.org/W2886114071","https://openalex.org/W2897907671","https://openalex.org/W2948131821","https://openalex.org/W2948780012","https://openalex.org/W2953565345","https://openalex.org/W2965121457","https://openalex.org/W2970148481","https://openalex.org/W2988197707","https://openalex.org/W2995647881","https://openalex.org/W2997487283","https://openalex.org/W3036830746","https://openalex.org/W3081534204","https://openalex.org/W3089780802","https://openalex.org/W3109838907","https://openalex.org/W3128705673","https://openalex.org/W3134719895","https://openalex.org/W3167455792","https://openalex.org/W3190900187","https://openalex.org/W3195481585","https://openalex.org/W4224067915","https://openalex.org/W4283726572","https://openalex.org/W4285181188","https://openalex.org/W4289792827"],"related_works":["https://openalex.org/W3044651058","https://openalex.org/W2739832043","https://openalex.org/W3152929143","https://openalex.org/W2133316672","https://openalex.org/W4367321265","https://openalex.org/W1972898932","https://openalex.org/W2189049614","https://openalex.org/W2116558684","https://openalex.org/W1985449459","https://openalex.org/W4313152764"],"abstract_inverted_index":{"The":[0,54],"enormous":[1],"computational":[2,105],"overheads":[3],"and":[4,46,66,77,100,107,132,205,216,221],"excessive":[5],"storage":[6,108],"requirements":[7],"are":[8,81],"two":[9,82],"obstacles":[10],"to":[11,72,84,111,150,197],"the":[12,21,59,74,90,97,112,124,130,137,145,151,157,163,167,172,192,199,210,219,233,238],"data-domain":[13],"least-squares":[14,37],"reverse":[15],"time":[16],"migration":[17],"(RTM)":[18],"approach":[19,40,159,213,236],"for":[20,191],"application":[22],"of":[23,166,194,240],"large-scale":[24],"3-D":[25],"seismic":[26],"data.":[27],"To":[28],"alleviate":[29],"this":[30,85],"problem,":[31],"we":[32,186],"have":[33],"developed":[34],"an":[35,188],"image-domain":[36,152],"RTM":[38,75,98,131],"(IDLSRTM)":[39],"through":[41],"point":[42,56],"spread":[43],"functions":[44],"(PSFs)":[45],"excitation-amplitude":[47],"(EA)":[48],"imaging":[49,61,68,92,117,139,147,230],"condition,":[50,62,69,148],"denoted":[51],"as":[52,63],"EA-IDLSRTM.":[53],"key":[55],"is":[57,70,88,122],"that":[58,89,123,209],"EA":[60,91,146],"a":[64,155,179],"cost-effective":[65],"practical":[67],"used":[71,170],"reconstruct":[73,96],"image":[76,99],"localized":[78,101],"PSFs.":[79],"There":[80],"benefits":[83],"combination.":[86],"One":[87],"condition":[93,140,164],"can":[94,141,160,214,227],"effectively":[95,217],"PSFs":[102],"with":[103,203],"less":[104,180],"overhead":[106],"requirement,":[109],"relative":[110],"zero-lag":[113],"cross":[114],"correlation":[115],"(CC)":[116],"condition.":[118],"Another":[119],"important":[120],"benefit":[121],"redundant":[125],"source":[126],"wavelets":[127],"in":[128,171,237],"both":[129],"PSF":[133],"images":[134],"computed":[135],"by":[136,144],"CC":[138],"be":[142],"removed":[143],"prior":[149],"inversion.":[153],"As":[154],"result,":[156],"proposed":[158,211],"explicitly":[161],"reduce":[162],"number":[165],"Hessian":[168],"matrix":[169],"conventional":[173,234],"IDLSRTM":[174,235],"approach,":[175],"which":[176],"will":[177],"produce":[178],"ill-conditioned":[181],"inverse":[182],"problem.":[183],"In":[184],"addition,":[185],"introduce":[187],"angle-dependent":[189],"filter":[190],"attenuation":[193],"low-wavenumber":[195],"artifacts":[196],"accelerate":[198],"convergence.":[200],"Several":[201],"experiments":[202],"synthetic":[204],"field":[206],"data":[207],"demonstrate":[208],"EA-IDLSRTM":[212,226],"efficiently":[215],"recover":[218],"high-resolution":[220],"high-fidelity":[222],"reflectivity":[223],"image.":[224],"Meanwhile,":[225],"provide":[228],"better":[229],"quality":[231],"than":[232],"case":[239],"relatively":[241],"smoothed":[242],"velocity.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
