{"id":"https://openalex.org/W4401328658","doi":"https://doi.org/10.1109/tgrs.2024.3438754","title":"Deghosting in Depth Image Domain Using a PSF-Trained U-Net","display_name":"Deghosting in Depth Image Domain Using a PSF-Trained U-Net","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401328658","doi":"https://doi.org/10.1109/tgrs.2024.3438754"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3438754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3438754","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/A5053317941","display_name":"Bingkai Han","orcid":"https://orcid.org/0000-0003-2523-4834"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingkai Han","raw_affiliation_strings":["Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2523-4834","affiliations":[{"raw_affiliation_string":"Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082164406","display_name":"Jiankun Jing","orcid":"https://orcid.org/0000-0002-6283-3900"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankun Jing","raw_affiliation_strings":["Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6283-3900","affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826900","display_name":"Zhe Yan","orcid":"https://orcid.org/0000-0002-6384-3254"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Yan","raw_affiliation_strings":["Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6384-3254","affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050539312","display_name":"Weijian Mao","orcid":"https://orcid.org/0000-0002-3629-6179"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Mao","raw_affiliation_strings":["Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3629-6179","affiliations":[{"raw_affiliation_string":"Research Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034441026","display_name":"Hanming Gu","orcid":"https://orcid.org/0000-0001-9641-3499"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanming Gu","raw_affiliation_strings":["Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1257,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8012788,"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":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10531","display_name":"Advanced Vision and Imaging","score":0.945900022983551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5248715281486511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5233492255210876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4867534637451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4595320522785187},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44137248396873474},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43431252241134644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3895501494407654},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32241806387901306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1253560483455658}],"concepts":[{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5248715281486511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233492255210876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4867534637451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4595320522785187},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44137248396873474},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43431252241134644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3895501494407654},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32241806387901306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1253560483455658},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3438754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3438754","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":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G5206619610","display_name":"\u57fa\u4e8e\u70b9\u6269\u6563\u51fd\u6570\u7684\u4e09\u7ef4\u5f39\u6027\u6ce2\u6df1\u5ea6\u57df\u5730\u9707\u4fdd\u5e45\u6210\u50cf\u4e0e\u53cd\u6f14\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41974163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5523817027","display_name":"\u6d77\u4e0a\u53d8\u6df1\u5ea6\u7f06\u9b3c\u6ce2\u591a\u57df\u591a\u53c2\u6570\u81ea\u9002\u5e94\u6700\u4f18\u5316\u8fed\u4ee3\u538b\u5236\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41974154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5949926651","display_name":null,"funder_award_id":"42130808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G640706244","display_name":null,"funder_award_id":"2023M743582","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":71,"referenced_works":["https://openalex.org/W1483312074","https://openalex.org/W1516064570","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1964236472","https://openalex.org/W1968496425","https://openalex.org/W1976884569","https://openalex.org/W2003499385","https://openalex.org/W2011172484","https://openalex.org/W2012790988","https://openalex.org/W2024827224","https://openalex.org/W2027099589","https://openalex.org/W2031314359","https://openalex.org/W2034179764","https://openalex.org/W2035374127","https://openalex.org/W2052971568","https://openalex.org/W2087917004","https://openalex.org/W2102217532","https://openalex.org/W2103194346","https://openalex.org/W2127956141","https://openalex.org/W2129169678","https://openalex.org/W2133200325","https://openalex.org/W2134072782","https://openalex.org/W2138914125","https://openalex.org/W2143448743","https://openalex.org/W2172891084","https://openalex.org/W2249056405","https://openalex.org/W2256563008","https://openalex.org/W2287212584","https://openalex.org/W2313806710","https://openalex.org/W2316649237","https://openalex.org/W2320772173","https://openalex.org/W2324599172","https://openalex.org/W2328960123","https://openalex.org/W2329380099","https://openalex.org/W2470776509","https://openalex.org/W2510338478","https://openalex.org/W2592421213","https://openalex.org/W2742156282","https://openalex.org/W2746882201","https://openalex.org/W2904005001","https://openalex.org/W2911424749","https://openalex.org/W2968628876","https://openalex.org/W2981595546","https://openalex.org/W3001732295","https://openalex.org/W3016118402","https://openalex.org/W3038682383","https://openalex.org/W3120334342","https://openalex.org/W3135474902","https://openalex.org/W3157386224","https://openalex.org/W3174394947","https://openalex.org/W3186428360","https://openalex.org/W3190854791","https://openalex.org/W3201852616","https://openalex.org/W3208869780","https://openalex.org/W4225784827","https://openalex.org/W4226244456","https://openalex.org/W4244144491","https://openalex.org/W4283726572","https://openalex.org/W4288037780","https://openalex.org/W4307348229","https://openalex.org/W4307563140","https://openalex.org/W4315480371","https://openalex.org/W4318988861","https://openalex.org/W4319844374","https://openalex.org/W4322706952","https://openalex.org/W4366598216","https://openalex.org/W4375928781","https://openalex.org/W4376481163","https://openalex.org/W4384561861","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"In":[0,189],"the":[1,14,19,24,36,45,74,78,90,114,151,155,172,179,184,234,240],"marine":[2],"seismic":[3],"acquisition,":[4],"hydrophones":[5],"are":[6,11,56,62,81,168],"distributed":[7],"along":[8],"streamers":[9],"that":[10],"towed":[12],"under":[13],"sea":[15],"surface,":[16],"recording":[17],"both":[18],"upgoing":[20],"primary":[21],"reflections":[22],"and":[23,43,61,98,138,145,198,210],"downgoing":[25],"free-surface":[26,49],"reflections.":[27],"The":[28,101,214],"interferences":[29],"between":[30,208],"them":[31],"result":[32],"in":[33,35,113,233],"notches":[34],"frequency-domain":[37],"amplitude":[38],"spectra,":[39],"causing":[40,95],"missing":[41,96,102],"frequencies":[42],"destroying":[44],"broadband":[46],"signature.":[47],"These":[48],"reflections,":[50],"referred":[51],"to":[52,64,89,125,149,154,170,177,183],"as":[53,59],"ghost":[54,79,140,200],"waves,":[55],"usually":[57],"treated":[58],"noises":[60],"supposed":[63],"be":[65,87,106,203,220],"suppressed":[66],"or":[67,116],"removed":[68],"before":[69],"depth":[70,195],"migration":[71],"imaging,":[72],"namely,":[73],"deghosting":[75,231],"processing.":[76],"If":[77],"waves":[80,141,201],"not":[82],"effectively":[83],"removed,":[84],"they":[85],"will":[86],"projected":[88],"subsurface":[91,185],"image":[92,117,187,235],"domain,":[93],"further":[94],"wavenumbers":[97],"influencing":[99],"resolutions.":[100],"information":[103],"can":[104,202,219],"hardly":[105],"fully":[107],"compensated":[108],"through":[109,206],"traditional":[110],"deconvolution-type":[111],"filters":[112],"data":[115],"domain.":[118,188,236],"Recently,":[119],"deep-learning-based":[120,242],"methods":[121],"have":[122],"been":[123],"introduced":[124],"data-domain":[126],"deghosting.":[127],"However,":[128],"generating":[129],"a":[130],"sufficiently":[131],"large":[132,192],"number":[133],"of":[134,159,194,216],"training":[135,217],"samples":[136,218],"with":[137,163,197],"without":[139,199],"is":[142,147],"quite":[143],"costly,":[144],"it":[146],"difficult":[148],"guarantee":[150],"diversity,":[152],"leading":[153],"limited":[156],"generalization":[157],"capability":[158],"neural":[160],"networks":[161],"trained":[162],"these":[164,224],"datasets.":[165],"Therefore,":[166],"we":[167,227],"motivated":[169],"use":[171],"point":[173],"spread":[174],"function":[175],"(PSF)":[176],"project":[178],"near-surface":[180],"ghost-related":[181],"parameters":[182],"local":[186,211],"this":[190],"way,":[191],"numbers":[193],"images":[196],"constructed":[204],"efficiently":[205],"convolutions":[207],"PSFs":[209],"model":[212],"perturbations.":[213],"diversity":[215],"easily":[221],"satisfied.":[222],"Using":[223],"paired":[225],"samples,":[226],"train":[228],"U-nets":[229],"for":[230],"processing":[232],"Various":[237],"examples":[238],"validate":[239],"new":[241],"method.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}