{"id":"https://openalex.org/W4406459803","doi":"https://doi.org/10.1109/sbr/wre63066.2024.10837949","title":"An Expanded Latent Space Autoencoder for Land Cover Classification of Remote Sensing Images from EuroSAT","display_name":"An Expanded Latent Space Autoencoder for Land Cover Classification of Remote Sensing Images from EuroSAT","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4406459803","doi":"https://doi.org/10.1109/sbr/wre63066.2024.10837949"},"language":"en","primary_location":{"id":"doi:10.1109/sbr/wre63066.2024.10837949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr/wre63066.2024.10837949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Brazilian Symposium on Robotics (SBR), and 2024 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007461254","display_name":"Emerson Vilar de Oliveira","orcid":"https://orcid.org/0000-0001-8400-7119"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Emerson Vilar Oliveira","raw_affiliation_strings":["Graduate Program in Electrical and Computer Engineering, Universidade Federal do Rio Grande do Norte,Natal,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical and Computer Engineering, Universidade Federal do Rio Grande do Norte,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010487704","display_name":"Luiz Marcos Garcia Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-7735-5630"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Marcos Garcia Gon\u00e7alves","raw_affiliation_strings":["Graduate Program in Electrical and Computer Engineering, Universidade Federal do Rio Grande do Norte,Natal,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical and Computer Engineering, Universidade Federal do Rio Grande do Norte,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.934499979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/autoencoder","display_name":"Autoencoder","score":0.9052417278289795},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6815957427024841},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6336075067520142},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6050727367401123},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5770925283432007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5561206340789795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47825494408607483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3598361015319824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34764114022254944},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2697072923183441},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1652332842350006},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.13312461972236633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1308009922504425}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9052417278289795},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6815957427024841},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6336075067520142},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6050727367401123},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5770925283432007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5561206340789795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47825494408607483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3598361015319824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34764114022254944},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2697072923183441},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1652332842350006},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.13312461972236633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1308009922504425},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbr/wre63066.2024.10837949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr/wre63066.2024.10837949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Brazilian Symposium on Robotics (SBR), and 2024 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W203990265","https://openalex.org/W1493956763","https://openalex.org/W1584663654","https://openalex.org/W1994790229","https://openalex.org/W2002281921","https://openalex.org/W2024106491","https://openalex.org/W2039097087","https://openalex.org/W2055662012","https://openalex.org/W2078870638","https://openalex.org/W2081620141","https://openalex.org/W2086642909","https://openalex.org/W2098642880","https://openalex.org/W2102258425","https://openalex.org/W2592962403","https://openalex.org/W2605043709","https://openalex.org/W2614710595","https://openalex.org/W2901458284","https://openalex.org/W2964194231","https://openalex.org/W3027254575","https://openalex.org/W4210368916","https://openalex.org/W4387401550","https://openalex.org/W4392402400","https://openalex.org/W4394919171","https://openalex.org/W6710356859"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Image":[0],"classification":[1],"has":[2],"been":[3],"instrumental":[4],"in":[5,12,21,79],"the":[6,13,45,65,72,95,113,130,143,168],"interpretation":[7],"and":[8,20,26,98,120,123],"labeling":[9],"of":[10,15,75,154,163,170],"images":[11,125],"field":[14],"remote":[16],"sensing,":[17],"computer":[18],"vision,":[19],"robotics":[22],"applications.":[23],"Machine":[24],"learning":[25],"artificial":[27,31],"intelligence":[28],"algorithms,":[29],"particularly":[30],"neural":[32],"networks,":[33],"are":[34],"extensively":[35],"utilized":[36],"for":[37,103,139],"this":[38,41],"purpose.":[39],"In":[40,109],"work":[42],"we":[43,126],"propose":[44],"Expanded":[46],"Latent":[47],"Space":[48],"Autoencoder":[49],"(ELSA)":[50],"with":[51,146,150],"a":[52,104,136,151,160],"case":[53],"use":[54],"application":[55],"to":[56,70,81,111,117,129],"classify":[57,121],"land":[58],"cover":[59],"data.":[60],"The":[61,133,156],"main":[62],"idea":[63],"on":[64],"ELSA":[66,144],"network":[67,158],"structure":[68],"is":[69],"utilize":[71],"latent":[73,85,89],"spaces":[74],"multiple":[76],"internal":[77],"autoencoders":[78],"order":[80,110],"create":[82],"an":[83],"expanded":[84,88],"space.":[86],"This":[87],"space":[90],"extracts":[91],"more":[92,105,171],"information":[93],"from":[94],"input":[96,101],"data,":[97],"serves":[99],"as":[100],"features":[102,119],"simpler":[106],"classifier":[107,157],"network.":[108],"evaluate":[112],"proposed":[114],"network's":[115],"ability":[116],"extract":[118],"complex":[122,172],"multispectral":[124],"employed":[127],"it":[128],"EuroSAT":[131],"dataset.":[132],"results":[134],"demonstrate":[135],"remarkable":[137],"capacity":[138],"feature":[140],"extraction":[141],"using":[142],"network,":[145],"lower":[147],"complexity,":[148],"trained":[149],"reduced":[152],"number":[153],"images.":[155],"achieved":[159],"final":[161],"accuracy":[162],"98.7%,":[164],"matching":[165],"or":[166],"exceeding":[167],"performance":[169],"state-of-the-art":[173],"models.":[174]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
