{"id":"https://openalex.org/W3015071074","doi":"https://doi.org/10.1109/lgrs.2020.2981965","title":"A Branch Construction-Based CNN Denoiser for Desert Seismic Data","display_name":"A Branch Construction-Based CNN Denoiser for Desert Seismic Data","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3015071074","doi":"https://doi.org/10.1109/lgrs.2020.2981965","mag":"3015071074"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.2981965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2981965","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5048303998","display_name":"Hongbo Lin","orcid":"https://orcid.org/0000-0002-9039-1791"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbo Lin","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587215","display_name":"Shifu Wang","orcid":"https://orcid.org/0000-0003-3389-3987"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifu Wang","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621538","display_name":"Yue Li","orcid":"https://orcid.org/0000-0001-5482-6244"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048303998"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":2.8034,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89232457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"4","first_page":"736","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7141507267951965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629119515419006},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6475074291229248},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6187677979469299},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6025264263153076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47335004806518555},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4275309443473816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40924525260925293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36946436762809753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.325794517993927},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2518812417984009},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.083462655544281}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7141507267951965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629119515419006},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6475074291229248},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6187677979469299},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6025264263153076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47335004806518555},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4275309443473816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40924525260925293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36946436762809753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.325794517993927},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2518812417984009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.083462655544281},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"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/lgrs.2020.2981965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2981965","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G6212813170","display_name":null,"funder_award_id":"41730422","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6651720683","display_name":null,"funder_award_id":"41774117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"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":17,"referenced_works":["https://openalex.org/W1969339404","https://openalex.org/W1971095230","https://openalex.org/W2025862692","https://openalex.org/W2132454757","https://openalex.org/W2508457857","https://openalex.org/W2520164769","https://openalex.org/W2526357332","https://openalex.org/W2565827560","https://openalex.org/W2614600089","https://openalex.org/W2764207251","https://openalex.org/W2902519853","https://openalex.org/W2904107417","https://openalex.org/W2912065192","https://openalex.org/W2958903376","https://openalex.org/W2964046669","https://openalex.org/W3104725225","https://openalex.org/W6726381175"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W4321444604","https://openalex.org/W2811106690","https://openalex.org/W2936819511","https://openalex.org/W4239306820","https://openalex.org/W4367628250","https://openalex.org/W3034789145","https://openalex.org/W383418545"],"abstract_inverted_index":{"Seismic":[0],"random":[1,20,61,134],"noise":[2,21,30,62],"reduction":[3],"is":[4,110,140,195],"an":[5],"indispensable":[6],"step":[7],"in":[8,22,113,165,197],"seismic":[9,25,42,52,108,167,191],"data":[10,26,109,176,192],"processing.":[11],"Due":[12],"to":[13,35,48,90,116,142,157,189],"complex":[14],"geological":[15],"condition":[16],"and":[17,32,44,70,85,172,200],"acquisition":[18],"environment,":[19],"the":[23,36,41,46,50,59,91,95,99,102,107,114,118,122,132,137,144,148,152,158,162,166,173],"desert":[24,60,133,175,190],"has":[27,184],"spatiotemporally":[28],"variant":[29],"levels":[31],"weak":[33],"similarity":[34],"signals,":[37],"which":[38,126],"severely":[39],"obscures":[40],"signals":[43],"increases":[45],"difficulty":[47],"extract":[49],"reflected":[51],"signals.":[53],"This":[54],"letter":[55],"focuses":[56],"on":[57,64],"suppressing":[58],"based":[63],"a":[65,72,81,86,128,185],"convolutional":[66],"neural":[67],"network":[68,76,84,88,115,149,153],"(CNN)":[69],"proposes":[71],"branch":[73],"construction-based":[74],"denoising":[75,82,119,130,187],"(BCDNet).":[77],"The":[78,169],"BCDNet":[79,181],"contains":[80],"main":[83,96,124],"branched":[87,100],"added":[89],"downsampled":[92,138],"layer":[93,139],"of":[94,106,121,147,161],"network.":[97],"With":[98],"network,":[101,125],"global":[103],"context":[104],"feature":[105],"obtained":[111],"early":[112],"guide":[117],"task":[120],"subsequent":[123],"allows":[127],"flexible":[129],"for":[131],"noise.":[135],"Moreover,":[136],"able":[141],"enlarge":[143],"receptive":[145],"field":[146,174],"without":[150],"increasing":[151],"depth,":[154],"thus":[155],"leading":[156],"better":[159],"retention":[160],"structural":[163],"features":[164],"records.":[168],"extensive":[170],"experiments":[171],"application":[177],"confirm":[178],"that":[179],"our":[180],"not":[182],"only":[183],"significant":[186],"capacity":[188],"but":[193],"also":[194],"competitive":[196],"training":[198],"time":[199],"memory":[201],"cost.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
