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Parallel implementation of vertex component analysis for hyperspectral endmember extraction

2012-07Conference object Restricted access
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dc.contributor.authorAlves, José M. Rodriguez
dc.contributor.authorNascimento, Jose
dc.contributor.authorBioucas-Dias, José M.
dc.contributor.authorSilva, Vítor
dc.contributor.authorPlaza, António
dc.date.accessioned2014-06-05T16:23:52Z
dc.date.available2014-06-05T16:23:52Z
dc.date.issued2012-07
dc.descriptionInternational Conference with Peer Review 2012 IEEE International Conference in Geoscience and Remote Sensing Symposium (IGARSS), 22-27 July 2012, Munich, Germanypor
dc.description.abstractVertex component analysis (VCA) has become a very popular and useful tool to linear unmix large hyperspectral datasets without the use of any a priori knowledge of the constituent spectra. Although VCA is fast method, many hyperspectral imagery applications require a response in real time or near-real time. This paper proposes two different optimizations for accelerating the computational performance of VCA: the first one focus a parallel implementation based on graphics computing units (GPUs) to alleviate the VCA computational burden; The second one is focused on the development of a strategy to remove a large proportion of mixed pixels that play no effect on the VCA functioning. Experiments are conducted using simulated and real hyperspectral datasets. These results reveal considerable acceleration factors, which satisfies the real-time constraints given by the data acquisition rate.por
dc.identifier.citationALVES, José M. Rodrigues; NASCIMENTO, José M. P.; BIOUCAS-DIAS, José M.; SILVA, Vítor; PLAZA, António - Parallel implementation of vertex component analysis for hyperspectral endmember extraction. Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. ISSN 2153-6996. (2012), p. 4078-4081.por
dc.identifier.isbn978-1-4673-1158-8
dc.identifier.isbn978-1-4673-1160-1
dc.identifier.issn2153-6996
dc.identifier.other10.1109/IGARSS.2012.6350513
dc.identifier.urihttp://hdl.handle.net/10400.21/3616
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6350513&tag=1por
dc.subjectHyperspectral Unmixingpor
dc.subjectEndmember Extractionpor
dc.subjectVertex Component Analysispor
dc.subjectGraphics Processing Unitpor
dc.subjectParallel Methodspor
dc.titleParallel implementation of vertex component analysis for hyperspectral endmember extractionpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMunichpor
oaire.citation.endPage4081por
oaire.citation.startPage4078por
oaire.citation.titleGeoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE Internationalpor
person.familyNameNascimento
person.familyNameDias da Silva
person.givenNameJose
person.givenNameVítor
person.identifier.ciencia-id6912-6F61-1964
person.identifier.ciencia-idA912-8252-99D4
person.identifier.orcid0000-0002-5291-6147
person.identifier.orcid0000-0002-1862-1230
person.identifier.ridE-6212-2015
person.identifier.scopus-author-id55920018000
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublicationd0763cf1-6a95-4270-9428-53ea86b8cf35
relation.isAuthorOfPublication.latestForDiscoveryc7ffc6c0-1bdc-4f47-962a-a90dfb03073c

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