{"id":"https://openalex.org/W4387010849","doi":"https://doi.org/10.1109/tgrs.2023.3318982","title":"A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data","display_name":"A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387010849","doi":"https://doi.org/10.1109/tgrs.2023.3318982"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3318982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3318982","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/A5100663828","display_name":"Haitao Ma","orcid":"https://orcid.org/0000-0002-9784-2348"},"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":"Haitao Ma","raw_affiliation_strings":["Department of Information, College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Information, College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109337190","display_name":"J. Yu","orcid":"https://orcid.org/0000-0003-2173-3994"},"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":"Jingye Yu","raw_affiliation_strings":["Department of Information, College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Information, College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354966","display_name":"Yibo Wang","orcid":"https://orcid.org/0000-0002-0870-6302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210126061","display_name":"Institute of Geology and Geophysics","ror":"https://ror.org/030vmwa78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126061"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Wang","raw_affiliation_strings":["Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210126061","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045411027","display_name":"Ning Wu","orcid":"https://orcid.org/0000-0002-1899-2648"},"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":"Ning Wu","raw_affiliation_strings":["Department of Information, College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Information, 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":["Department of Information, College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Information, College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100663828"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":3.7669,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93733282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","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":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/T11757","display_name":"Seismic Waves and Analysis","score":0.9995999932289124,"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":0.9973999857902527,"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/discriminator","display_name":"Discriminator","score":0.7655885219573975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7306271195411682},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6322579383850098},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4821831285953522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46547645330429077},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4465404450893402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41822999715805054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4174099564552307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09736135601997375},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09343293309211731}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7655885219573975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306271195411682},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6322579383850098},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4821831285953522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46547645330429077},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4465404450893402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41822999715805054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4174099564552307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09736135601997375},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09343293309211731},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3318982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3318982","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":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1672529149","display_name":null,"funder_award_id":"42174153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1707363741","display_name":null,"funder_award_id":"2021YFA0716800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5458738667","display_name":null,"funder_award_id":"42230805","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1900713400","https://openalex.org/W1901129140","https://openalex.org/W1978801280","https://openalex.org/W1982163941","https://openalex.org/W2077622054","https://openalex.org/W2086861448","https://openalex.org/W2132454757","https://openalex.org/W2141953966","https://openalex.org/W2146866935","https://openalex.org/W2150117578","https://openalex.org/W2164000238","https://openalex.org/W2245188166","https://openalex.org/W2327371768","https://openalex.org/W2332449933","https://openalex.org/W2508457857","https://openalex.org/W2516389699","https://openalex.org/W2518468762","https://openalex.org/W2614600089","https://openalex.org/W2802429566","https://openalex.org/W2883142087","https://openalex.org/W2894410771","https://openalex.org/W2902519853","https://openalex.org/W2904236774","https://openalex.org/W2952480641","https://openalex.org/W2953535683","https://openalex.org/W2963626105","https://openalex.org/W2984915066","https://openalex.org/W2996149614","https://openalex.org/W3003534375","https://openalex.org/W3033557345","https://openalex.org/W3035226411","https://openalex.org/W3046358445","https://openalex.org/W3087855420","https://openalex.org/W3094426208","https://openalex.org/W3094660067","https://openalex.org/W3095036472","https://openalex.org/W3096479193","https://openalex.org/W3102348318","https://openalex.org/W3111390112","https://openalex.org/W3164561618","https://openalex.org/W3169045728","https://openalex.org/W3184165199","https://openalex.org/W3198590184","https://openalex.org/W3212804306","https://openalex.org/W3214618013","https://openalex.org/W4214579672","https://openalex.org/W4226356904","https://openalex.org/W4295521014","https://openalex.org/W4311316637","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6701499110","https://openalex.org/W6735913928","https://openalex.org/W6779669310","https://openalex.org/W6786851203"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2057775761","https://openalex.org/W4367628250","https://openalex.org/W3034789145","https://openalex.org/W383418545"],"abstract_inverted_index":{"Distributed":[0],"acoustic":[1],"sensing":[2],"(DAS)":[3],"has":[4,40,206],"been":[5,41],"gradually":[6],"applied":[7],"to":[8,92,119,145],"vertical":[9],"seismic":[10,18,45,201],"profiling":[11],"(VSP),":[12],"where":[13],"the":[14,95,109,114,121,147,154,158,174,180,188,193,211,219],"generated":[15],"DAS":[16,69,100,125,137,175,200],"VSP":[17,70,101],"data":[19,26,47,102,126,202],"contains":[20],"types":[21],"of":[22,97,124,136,150,160,173],"complex":[23],"noise.":[24],"Therefore,":[25],"denoising":[27,48,208],"plays":[28],"an":[29],"important":[30],"role":[31,149],"in":[32,44,99,183],"collecting":[33],"high-quality":[34],"geological":[35],"information.":[36],"Generative":[37],"adversarial":[38,184],"network(GAN)":[39],"widely":[42],"used":[43],"exploration":[46],"these":[49,74],"years,":[50],"but":[51,217],"problems":[52],"such":[53],"as":[54,108],"insufficient":[55,63],"optimization":[56],"objectives,":[57],"poor":[58],"signal":[59,162,213],"retention":[60],"continuity,":[61],"and":[62,88,112,130,186,198],"accuracy":[64],"still":[65],"remains":[66],"when":[67],"processing":[68],"data.":[71],"To":[72],"address":[73],"problems,":[75],"this":[76],"paper":[77],"proposes":[78],"DuGAN,":[79],"a":[80,131,165],"deep":[81],"learning":[82],"network":[83,117,156],"for":[84,169],"multi-scale":[85,115],"feature":[86,134],"extraction":[87],"global":[89,148,166],"information":[90],"discrimination,":[91],"better":[93,207,224],"meet":[94],"requirements":[96],"high-precision":[98],"denoising.":[103],"Our":[104],"method":[105],"takes":[106],"GAN":[107],"basic":[110],"architecture":[111],"chooses":[113],"codec":[116],"U-net":[118],"explore":[120],"potential":[122],"correlation":[123],"at":[127],"different":[128],"scales":[129],"more":[132,143,170],"robust":[133],"representation":[135],"signals.":[138],"In":[139],"addition,":[140],"DuGAN":[141,205],"is":[142],"inclined":[144],"emphasize":[146],"discriminator":[151],"so":[152],"that":[153,204],"entire":[155],"ensures":[157],"integrity":[159],"effective":[161,221],"structure":[163],"from":[164],"perspective.":[167],"Also,":[168],"accurate":[171],"recovery":[172],"reflected":[176],"signal,":[177],"we":[178],"adjust":[179],"loss":[181],"function":[182],"training":[185],"tilt":[187],"target":[189],"optimized":[190],"space":[191],"towards":[192],"discriminator.":[194],"Experiments":[195],"on":[196],"synthetic":[197],"field":[199],"show":[203],"performance-not":[209],"only":[210],"noise-covered":[212],"can":[214],"be":[215],"recovered,":[216],"also":[218],"overall":[220],"events":[222],"are":[223],"preserved.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
