{"id":"https://openalex.org/W3195037257","doi":"https://doi.org/10.1109/lgrs.2021.3103663","title":"Poststack Seismic Data Compression Using a Generative Adversarial Network","display_name":"Poststack Seismic Data Compression Using a Generative Adversarial Network","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3195037257","doi":"https://doi.org/10.1109/lgrs.2021.3103663","mag":"3195037257"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3103663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103663","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/A5059108281","display_name":"Kevyn Swhants dos Santos Ribeiro","orcid":"https://orcid.org/0000-0002-0060-9663"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kevyn Swhants dos Santos Ribeiro","raw_affiliation_strings":["Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0060-9663","affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","institution_ids":["https://openalex.org/I101100930"]},{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077581367","display_name":"Ana Paula Schiavon","orcid":"https://orcid.org/0000-0003-0951-8378"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana Paula Schiavon","raw_affiliation_strings":["Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0951-8378","affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","institution_ids":["https://openalex.org/I101100930"]},{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068263812","display_name":"Jo\u00e3o Paulo Navarro","orcid":"https://orcid.org/0000-0001-7878-2944"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Paulo Navarro","raw_affiliation_strings":["NVIDIA, S&#x00E3;o Paulo, Brazil","NVIDIA, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7878-2944","affiliations":[{"raw_affiliation_string":"NVIDIA, S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I1304085615"]},{"raw_affiliation_string":"NVIDIA, S\u00e3o Paulo, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022098433","display_name":"Marcelo Bernardes Vieira","orcid":"https://orcid.org/0000-0003-3356-6679"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Bernardes Vieira","raw_affiliation_strings":["Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3356-6679","affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","institution_ids":["https://openalex.org/I101100930"]},{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038412730","display_name":"Saulo Moraes Villela","orcid":"https://orcid.org/0000-0001-5958-4766"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Saulo Moraes Villela","raw_affiliation_strings":["Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-5958-4766","affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF&#x2014;Universidade Federal de Juiz de Fora, Juiz de Fora&#x2014;MG, Brazil","institution_ids":["https://openalex.org/I101100930"]},{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFJF\u2014Universidade Federal de Juiz de Fora, Juiz de Fora\u2014MG, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012202252","display_name":"Pedro M\u00e1rio Cruz e Silva","orcid":"https://orcid.org/0009-0003-5925-0039"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pedro M\u00e1rio Cruz e Silva","raw_affiliation_strings":["NVIDIA, S&#x00E3;o Paulo, Brazil","NVIDIA, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I1304085615"]},{"raw_affiliation_string":"NVIDIA, S\u00e3o Paulo, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55910389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7814124226570129},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6883131265640259},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6753818392753601},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6349802017211914},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6198663711547852},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.5456749200820923},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5173946619033813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48198193311691284},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4258204400539398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3894658088684082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3387719392776489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814124226570129},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6883131265640259},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6753818392753601},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6349802017211914},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6198663711547852},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.5456749200820923},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5173946619033813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48198193311691284},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4258204400539398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3894658088684082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3387719392776489},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/lgrs.2021.3103663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103663","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1794664798","https://openalex.org/W1958919278","https://openalex.org/W1969056143","https://openalex.org/W2139761194","https://openalex.org/W2168811573","https://openalex.org/W2585091646","https://openalex.org/W2789438905","https://openalex.org/W2955307498","https://openalex.org/W2962891349","https://openalex.org/W2963149687","https://openalex.org/W2963800363","https://openalex.org/W2970740409","https://openalex.org/W2981613960","https://openalex.org/W3091700486","https://openalex.org/W4206149502"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2747767720","https://openalex.org/W2062901426","https://openalex.org/W4387089533","https://openalex.org/W2384315174","https://openalex.org/W2171290334","https://openalex.org/W2380485271","https://openalex.org/W2282240650"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,12,17,50,71,100,114,123,132],"method":[4,46,106,144],"for":[5,29,54,151],"volumetric":[6,37],"seismic":[7,55,103,117,147],"data":[8,30,56,104,118,127,148],"compression":[9,31,57,105,149],"by":[10,70,94,108],"coupling":[11,109],"3-D":[13,26,65,138],"convolution-based":[14],"autoencoder":[15],"to":[16,34,113,135],"generative":[18],"adversarial":[19,95],"network":[20,53,81,112],"(GAN).":[21],"The":[22,116],"main":[23,84],"challenge":[24],"of":[25,125],"convolutional":[27,51],"autoencoders":[28],"is":[32,47,86,120],"how":[33],"fully":[35],"exploit":[36,137],"redundancy":[38],"while":[39],"keeping":[40],"reasonable":[41],"latent":[42,72],"representation":[43,73],"dimensions.":[44],"Our":[45,83],"based":[48],"on":[49],"neural":[52],"called":[58],"3DSC.":[59],"Its":[60],"encoder":[61],"and":[62,67],"decoder":[63,119],"use":[64],"convolutions":[66],"are":[68,129],"connected":[69],"with":[74,131,163],"the":[75,88,110,158],"same":[76],"dimensions":[77],"as":[78,122],"its":[79],"2-D":[80],"counterparts.":[82],"hypothesis":[85],"that":[87,128,142],"3DSC":[89,111],"architecture":[90],"can":[91],"be":[92],"improved":[93],"training.":[96],"We,":[97],"thus,":[98],"propose":[99],"new":[101],"3-D-based":[102],"(3DSC-GAN)":[107],"GAN.":[115],"used":[121],"generator":[124],"poststack":[126],"integrated":[130],"discriminator":[133],"module":[134],"better":[136],"redundancy.":[139],"Results":[140],"show":[141],"our":[143],"outperforms":[145],"previous":[146],"methods":[150],"very":[152],"low":[153],"target":[154],"bit":[155],"rates,":[156],"increasing":[157],"peak":[159],"signal-to-noise":[160],"ratio":[161],"(PSNR)":[162],"fairly":[164],"high":[165],"visual":[166],"quality.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
