Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/53753
DC FieldValueLanguage
dc.contributor.authorDopido, Inmaculada
dc.contributor.authorVilla, Alberto
dc.contributor.authorPlaza, Antonio
dc.contributor.authorGamba, Paolo
dc.contributor.otherGamba, Paolo
dc.contributor.otherGARCIA DOPIDO, INMACULADA
dc.contributor.otherPlaza, Antonio
dc.contributor.otherjiang, shujie
dc.date.accessioned2019-02-04T18:07:15Z-
dc.date.available2019-02-04T18:07:15Z-
dc.date.issued2012
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/10553/53753-
dc.publisher1939-1404
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.sourceIeee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing[ISSN 1939-1404],v. 5 (2), p. 421-435
dc.titleA Quantitative and Comparative Assessment of Unmixing-Based Feature Extraction Techniques for Hyperspectral Image Classification
dc.typeinfo:eu-repo/semantics/article
dc.typeArticle
dc.identifier.doi10.1109/JSTARS.2011.2176721
dc.identifier.isi000304612300006
dcterms.isPartOfIeee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
dcterms.sourceIeee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing[ISSN 1939-1404],v. 5 (2), p. 421-435
dc.description.lastpage435
dc.identifier.issue2
dc.description.firstpage421
dc.relation.volume5
dc.type2Artículo
dc.identifier.wosWOS:000304612300006
dc.contributor.daisngid3312252
dc.contributor.daisngid215820
dc.contributor.daisngid23075
dc.contributor.daisngid55158
dc.identifier.investigatorRIDG-1959-2010
dc.identifier.investigatorRIDL-7402-2014
dc.identifier.investigatorRIDC-4455-2008
dc.identifier.investigatorRIDA-2936-2014
dc.identifier.ulpgces
dc.description.sjr1,319
dc.description.jcr2,874
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.orcid0000-0003-2981-3905-
crisitem.author.fullNameGarcía Dópido, Inmaculada-
Appears in Collections:Artículos
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.