{"id":"https://openalex.org/W3036036748","doi":"https://doi.org/10.1109/tgrs.2020.2997977","title":"Multichannel Statistical Broadband Wavelet Deconvolution for Improving Resolution of Seismic Signals","display_name":"Multichannel Statistical Broadband Wavelet Deconvolution for Improving Resolution of Seismic Signals","publication_year":2020,"publication_date":"2020-06-17","ids":{"openalex":"https://openalex.org/W3036036748","doi":"https://doi.org/10.1109/tgrs.2020.2997977","mag":"3036036748"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2997977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2997977","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/A5024332210","display_name":"Yijun Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijun Yuan","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033548311","display_name":"Yingcai Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingcai Li","raw_affiliation_strings":["Beijing BFTD Technology Company Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing BFTD Technology Company Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002657688","display_name":"Zhou Shi-chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108906","display_name":"China Metallurgical Geology Bureau","ror":"https://ror.org/01n5xv175","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108906"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichang Zhou","raw_affiliation_strings":["Geophysical Exploration Brigade of Hubei Geological Bureau, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Geophysical Exploration Brigade of Hubei Geological Bureau, Wuhan, China","institution_ids":["https://openalex.org/I4210108906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024332210"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":null,"apc_paid":null,"fwci":2.2481,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85932078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"2","first_page":"1772","last_page":"1783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9988999962806702,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.9356661438941956},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7431401610374451},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6549248695373535},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.6265593767166138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070709228515625},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5910488963127136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5010581016540527},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4808124303817749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24174070358276367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23180624842643738},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2080194056034088}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.9356661438941956},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7431401610374451},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6549248695373535},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.6265593767166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070709228515625},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5910488963127136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5010581016540527},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4808124303817749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24174070358276367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23180624842643738},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2080194056034088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.2997977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2997977","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/G5524378892","display_name":null,"funder_award_id":"41974157","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":29,"referenced_works":["https://openalex.org/W1566692896","https://openalex.org/W1607795755","https://openalex.org/W1971032479","https://openalex.org/W1975812764","https://openalex.org/W1984859941","https://openalex.org/W1995703890","https://openalex.org/W1998209918","https://openalex.org/W1999322057","https://openalex.org/W2001602575","https://openalex.org/W2030400978","https://openalex.org/W2036513620","https://openalex.org/W2037971896","https://openalex.org/W2063557524","https://openalex.org/W2085842701","https://openalex.org/W2087054292","https://openalex.org/W2099885111","https://openalex.org/W2104764710","https://openalex.org/W2111248943","https://openalex.org/W2116152993","https://openalex.org/W2116232293","https://openalex.org/W2133374304","https://openalex.org/W2141713516","https://openalex.org/W2142682567","https://openalex.org/W2145300174","https://openalex.org/W2151948889","https://openalex.org/W2162172182","https://openalex.org/W2342561031","https://openalex.org/W3098825568","https://openalex.org/W4255962807"],"related_works":["https://openalex.org/W4242983818","https://openalex.org/W2059639161","https://openalex.org/W584962943","https://openalex.org/W2059641814","https://openalex.org/W2348457039","https://openalex.org/W2141591465","https://openalex.org/W4321635651","https://openalex.org/W2139898842","https://openalex.org/W2589098082","https://openalex.org/W2155513095"],"abstract_inverted_index":{"Many":[0],"popular":[1],"deconvolution":[2,28,47,68,74,82,88,118,122],"methods":[3,29],"based":[4,90],"on":[5,67,91,117,145,198],"Robinson's":[6],"convolutional":[7,105],"model":[8,106],"have":[9,101],"played":[10],"an":[11],"important":[12],"role":[13],"in":[14,45,52,72,120,139,153,213],"improving":[15],"the":[16,23,41,46,50,53,59,62,78,97,103,114,121,126,134,137,141,146,154,169,172,177,189,193,207,210,215],"temporal":[17],"resolution":[18,216],"of":[19,25,43,64,80,136,151,156,171,209,217],"seismic":[20,33,173,178,204,218],"data.":[21],"However,":[22],"outcomes":[24],"applying":[26],"these":[27],"to":[30,40,107,125,167],"real":[31,202],"land":[32,203],"data":[34,179,200,205],"are":[35],"not":[36],"always":[37],"desirable":[38],"due":[39],"effect":[42,63,116,144],"noise":[44,51,66,110,115],"process.":[48,123],"Although":[49],"seismogram":[54],"can":[55,70],"be":[56],"minimized":[57],"during":[58],"recording":[60],"process,":[61],"residual":[65],"operators":[69,119],"result":[71],"poor":[73],"output.":[75],"To":[76,175],"address":[77],"shortcomings":[79],"conventional":[81],"methods,":[83],"we":[84,100,131,161,187],"developed":[85],"a":[86,92,109,163,181],"new":[87],"method":[89,212],"multichannel":[93,128],"statistical":[94,129],"principle.":[95],"In":[96],"proposed":[98,127,211],"method,":[99],"extended":[102],"surface-consistent":[104],"include":[108],"component,":[111],"thus":[112],"including":[113],"According":[124],"strategy,":[130],"first":[132],"calculated":[133],"autocorrelation":[135,170],"seismogram,":[138],"which":[140],"lateral":[142],"variation":[143],"wavelet":[147,191],"is":[148],"considered":[149],"because":[150],"inhomogeneities":[152],"vicinity":[155],"sources":[157],"and":[158,184,201],"receivers.":[159],"Then,":[160],"adopted":[162],"local":[164],"fitting":[165],"technique":[166],"approximate":[168],"wavelet.":[174,196],"obtain":[176],"with":[180],"broad":[182],"bandwidth":[183],"low-noise":[185],"level,":[186],"used":[188],"integral-Ricker":[190],"as":[192],"desired":[194],"output":[195],"Tests":[197],"synthetic":[199],"demonstrate":[206],"effectiveness":[208],"increasing":[214],"signals.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
