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Evaluation of semantic segmentation methods for land use with spectral imaging using sentinel-2 and pnoa imagery

dc.contributor.authorDíaz Pedrayes, Óscar 
dc.contributor.authorGonzález Lema, Darío 
dc.contributor.authorGarcía Martínez, Daniel Fernando 
dc.contributor.authorUsamentiaga Fernández, Rubén 
dc.contributor.authorAlonso Fernández, Ángela
dc.date.accessioned2021-11-18T12:25:12Z
dc.date.available2021-11-18T12:25:12Z
dc.date.issued2021
dc.identifier.citationRemote Sensing, 13(12) (2021); doi:10.3390/rs13122292
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10651/61305
dc.description.sponsorshipThis research was funded by SERESCO S.A under the contract FUO-20-018 and also by the project RTI2018-094849-B-I00 of the Spanish National Plan for Research, Development and Innovation.
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.rights© 2021 Los autores
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85108434039&doi=10.3390%2frs13122292&partnerID=40&md5=8500afb71d671a31908fe124c1724fb9
dc.titleEvaluation of semantic segmentation methods for land use with spectral imaging using sentinel-2 and pnoa imagery
dc.typejournal article
dc.identifier.doi10.3390/rs13122292
dc.relation.projectIDRTI2018-094849-B-I00
dc.relation.publisherversionhttp://dx.doi.org/10.3390/rs13122292
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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