{"id":"https://openalex.org/W3155422166","doi":"https://doi.org/10.1109/tgrs.2021.3070903","title":"Statistics-Guided Residual Dictionary Learning for Footprint Noise Removal","display_name":"Statistics-Guided Residual Dictionary Learning for Footprint Noise Removal","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3155422166","doi":"https://doi.org/10.1109/tgrs.2021.3070903","mag":"3155422166"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3070903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3070903","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/A5100344570","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-3109-329X"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education, Hubei Province), Yangtze University, Wuhan, China","Key Laboratory of Exploration Technology for Oil and Gas Resources of Ministry of Education, Yangtze University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education, Hubei Province), Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Key Laboratory of Exploration Technology for Oil and Gas Resources of Ministry of Education, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059397010","display_name":"Omar M. Saad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112040","display_name":"National Research Institute of Astronomy and Geophysics","ror":"https://ror.org/01cb2rv04","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210112040"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","EG"],"is_corresponding":false,"raw_author_name":"Omar M. Saad","raw_affiliation_strings":["Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China","Seismology Department, ENSN Laboratory, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Seismology Department, ENSN Laboratory, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt","institution_ids":["https://openalex.org/I4210112040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459518","display_name":"Hang Wang","orcid":"https://orcid.org/0000-0003-0908-8478"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Wang","raw_affiliation_strings":["Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019972279","display_name":"Yangkang Chen","orcid":"https://orcid.org/0000-0001-6429-4261"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangkang Chen","raw_affiliation_strings":["Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100344570"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":null,"apc_paid":null,"fwci":0.9287,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69655049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"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":0.9993000030517578,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/footprint","display_name":"Footprint","score":0.9112582802772522},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6637802124023438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471776366233826},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5045324563980103},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4340782165527344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.416610985994339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3689793050289154},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2376222312450409}],"concepts":[{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.9112582802772522},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6637802124023438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471776366233826},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5045324563980103},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4340782165527344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.416610985994339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3689793050289154},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2376222312450409},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3070903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3070903","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":[],"awards":[{"id":"https://openalex.org/G3123712008","display_name":null,"funder_award_id":"41804140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5239779921","display_name":null,"funder_award_id":"UOG2020-01","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324773","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1558135433","https://openalex.org/W1966962317","https://openalex.org/W1967121100","https://openalex.org/W1981607562","https://openalex.org/W2005448621","https://openalex.org/W2009650106","https://openalex.org/W2019151133","https://openalex.org/W2021734622","https://openalex.org/W2057731302","https://openalex.org/W2064783502","https://openalex.org/W2088945340","https://openalex.org/W2090440970","https://openalex.org/W2095524310","https://openalex.org/W2101535407","https://openalex.org/W2105747719","https://openalex.org/W2111260651","https://openalex.org/W2119783415","https://openalex.org/W2148193099","https://openalex.org/W2148680069","https://openalex.org/W2152622793","https://openalex.org/W2282024151","https://openalex.org/W2314911727","https://openalex.org/W2322701561","https://openalex.org/W2468203014","https://openalex.org/W2513162408","https://openalex.org/W2602807606","https://openalex.org/W2702787849","https://openalex.org/W2744272590","https://openalex.org/W2776535170","https://openalex.org/W2809281510","https://openalex.org/W2886098498","https://openalex.org/W2888525203","https://openalex.org/W2892361962","https://openalex.org/W2900781915","https://openalex.org/W2922221610","https://openalex.org/W2944811543","https://openalex.org/W2945294778","https://openalex.org/W2945664069","https://openalex.org/W2971588278","https://openalex.org/W3034092751","https://openalex.org/W3112872925","https://openalex.org/W4242453637"],"related_works":["https://openalex.org/W2973451922","https://openalex.org/W3094412894","https://openalex.org/W2809253131","https://openalex.org/W4292116820","https://openalex.org/W2430546716","https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2371447506","https://openalex.org/W2078329362"],"abstract_inverted_index":{"The":[0,15,161],"footprint":[1,16,43,59,93,116,128,183,202,206,217],"noise":[2,8,17,44,60,117,129],"is":[3,18,45,61,69],"a":[4,49,84,136,156,174,195,215],"type":[5],"of":[6,41,53,106,114,126,177,198,205,232],"coherent":[7],"that":[9],"arises":[10],"from":[11,118],"the":[12,28,35,42,92,103,107,112,115,119,123,127,131,141,150,164,178,182,191,230,233],"acquisition":[13],"geometry.":[14],"commonly":[19],"seen":[20],"in":[21,34,130,173],"3-D":[22,222],"seismic":[23,36,54],"volumes":[24],"and":[25,31,64,110,146,168,181,201,208,224],"greatly":[26],"affects":[27],"amplitude-based":[29],"processing":[30],"interpretation":[32,51],"steps":[33],"exploration":[37],"workflow.":[38],"Thus,":[39],"removal":[40,79],"necessary":[46],"for":[47],"warranting":[48],"reliable":[50],"output":[52],"data":[55,193,226],"processing.":[56],"However,":[57],"because":[58],"usually":[62],"weak":[63],"also":[65],"spatially":[66],"coherent,":[67],"it":[68],"inevitable":[70],"to":[71,74,89,100,139,189,214,228],"cause":[72],"damages":[73],"useful":[75],"signals":[76],"during":[77],"its":[78],"steps.":[80],"Here,":[81],"we":[82,134],"propose":[83,135],"dictionary":[85,104,132,142,176],"learning":[86],"(DL)-based":[87],"method":[88],"effectively":[90,101],"remove":[91],"noise.":[94],"We":[95,185,219],"design":[96],"an":[97],"algorithm":[98],"framework":[99],"learn":[102],"atoms":[105,143,152,167,171,200,207],"signal":[108,179,199],"waveforms":[109,180],"separate":[111,140],"features":[113,125],"learned":[120],"atoms.":[121,148,184,203],"Considering":[122],"special":[124],"atoms,":[133],"statistics-guided":[137],"way":[138],"into":[144],"footprint-affected":[145,151,170],"footprint-free":[147,166],"Then,":[149],"are":[153],"processed":[154],"via":[155],"2-D":[157],"median":[158],"filtering":[159],"step.":[160],"combination":[162,197],"between":[163],"untouched":[165],"filtered":[169],"result":[172],"better":[175],"use":[186,220],"residual":[187],"DL":[188],"encode":[190],"input":[192],"by":[194],"linear":[196],"Removal":[204],"their":[209],"corresponding":[210],"sparse":[211],"coefficients":[212],"leads":[213],"successful":[216],"removal.":[218],"both":[221],"synthetic":[223],"field":[225],"examples":[227],"demonstrate":[229],"effectiveness":[231],"proposed":[234],"method.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}