Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45006
DC FieldValueLanguage
dc.contributor.authorBernabe, Sergioen_US
dc.contributor.authorSanchez, Sergioen_US
dc.contributor.authorPlaza, Antonioen_US
dc.contributor.authorLopez, Sebastianen_US
dc.contributor.authorBenediktsson, Jon Atlien_US
dc.contributor.authorSarmiento, Robertoen_US
dc.contributor.otherBernabe Garcia, Sergio-
dc.contributor.otherSarmiento, Roberto-
dc.contributor.otherPlaza, Antonio-
dc.contributor.otherBenediktsson, Jon-
dc.contributor.otherLopez, Sebastian-
dc.date.accessioned2018-11-22T06:32:47Z-
dc.date.available2018-11-22T06:32:47Z-
dc.date.issued2013en_US
dc.identifier.issn1939-1404en_US
dc.identifier.urihttp://hdl.handle.net/10553/45006-
dc.description.abstractOne of the main problems in the analysis of remotely sensed hyperspectral data cubes is the presence of mixed pixels, which arise when the spatial resolution of the sensor is not able to separate spectrally distinct materials. Due to this reason, spectral unmixing has become one of the most important tasks for hyperspectral data exploitation. However, unmixing algorithms can be computationally very expensive, a fact that compromises their use in applications under real-time constraints. For this purpose, in this paper we develop two efficient implementations of a full hyperspectral unmixing chain on two different kinds of high performance computing architectures: graphics processing units (GPUs) and multi-core processors. The proposed full unmixing chain is composed for three stages: (i) estimation of the number of pure spectral signatures or endmembers, (ii) automatic identification of the estimated endmembers, and (iii) estimation of the fractional abundance of each endmember in each pixel of the scene. The two computing platforms used in this work are inter-compared in the context of hyperspectral unmixing applications. The GPU implementation of the proposed methodology has been implemented using the compute devide unified architecture (CUDA) and the cuBLAS library, and tested on two different GPU architectures: NVidia™ GeForce GTX 580 and NVidia™ Tesla C1060. It provides real-time unmixing performance in two different analysis scenarios using hyperspectral data collected by NASA's Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the Cuprite mining district in Nevada and the World Trade Center complex in New York City. The multi-core implementation, developed using the applications program interface (API) OpenMP and the Intel Math Kernel Library (MKL) used for matrix multiplications, achieved near real-time performance in the same scenarios. A comparison of both architectures in terms of performance, cost and mission payload considerations is given based on the results obtained in the two considered data analysis scenarios.en_US
dc.languageengen_US
dc.publisher1939-1404-
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingen_US
dc.sourceIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [ISSN 1939-1404],v. 6 (3), p. 1386-1398en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherGraphics processing unitsen_US
dc.subject.otherHyperspectral imagingen_US
dc.subject.otherVectorsen_US
dc.subject.otherKernelen_US
dc.subject.otherMulticore processingen_US
dc.titleHyperspectral unmixing on GPUs and multi-core processors: A comparisonen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012)-
dc.identifier.doi10.1109/JSTARS.2013.2254470en_US
dc.identifier.scopus84880285553-
dc.identifier.isi000320871800035-
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. 6 (3), p. 1386-1398-
dc.contributor.authorscopusid36550217200-
dc.contributor.authorscopusid35115486600-
dc.contributor.authorscopusid7006613644-
dc.contributor.authorscopusid57187722000-
dc.contributor.authorscopusid7004494483-
dc.contributor.authorscopusid35609452100-
dc.description.lastpage1398en_US
dc.identifier.issue6504545-
dc.description.firstpage1386en_US
dc.relation.volume6en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000320871800035-
dc.contributor.daisngid1483942-
dc.contributor.daisngid2475704-
dc.contributor.daisngid671904-
dc.contributor.daisngid23075-
dc.contributor.daisngid465777-
dc.contributor.daisngid39568-
dc.contributor.daisngid116294-
dc.identifier.investigatorRIDH-5350-2015-
dc.identifier.investigatorRIDL-6017-2014-
dc.identifier.investigatorRIDC-4455-2008-
dc.identifier.investigatorRIDF-2861-2010-
dc.identifier.investigatorRIDL-8108-2014-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Bernabe, S-
dc.contributor.wosstandardWOS:Sanchez, S-
dc.contributor.wosstandardWOS:Plaza, A-
dc.contributor.wosstandardWOS:Lopez, S-
dc.contributor.wosstandardWOS:Benediktsson, JA-
dc.contributor.wosstandardWOS:Sarmiento, R-
dc.date.coverdateAbril 2013en_US
dc.identifier.conferenceidevents120811-
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr1,664
dc.description.jcr2,827
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.orcid0000-0002-2360-6721-
crisitem.author.orcid0000-0002-4843-0507-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameLópez Suárez, Sebastián Miguel-
crisitem.author.fullNameSarmiento Rodríguez, Roberto-
crisitem.event.eventsstartdate22-07-2012-
crisitem.event.eventsenddate27-07-2012-
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