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GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing

dc.contributor.authorBernabé, Sérgio
dc.contributor.authorMartin, Gabriel
dc.contributor.authorNascimento, Jose
dc.contributor.authorBioucas-Dias, José M.
dc.contributor.authorPlaza, Antonio
dc.contributor.authorSilva, Vítor
dc.date.accessioned2019-02-19T11:42:32Z
dc.date.available2019-02-19T11:42:32Z
dc.date.issued2017-10-23
dc.description.abstractIn this paper, a parallel implementation of a previously constrained hyperspectral coded aperture (CHYCA) algorithm for compressive sensing on graphics processing units (GPUs) is proposed. CHYCA method combines the ideas of spectral unmixing and compressive sensing exploiting the high spatial correlation that can be observed in the data and the generally low number of endmembers needed in order to explain the data. The performance of CHYCA relies which does not depend on the tuning of a regularization parameter, which is a time consuming task offering good performance compared with a previously hyperspectral coded aperture (HYCA) method. The proposed implementation exploits the GPU architecture at low level, thus taking full advantage of the computational power of GPUs using shared memory and coalesced accesses to memory. Experimental results using simulated data reveals speedups up to 56 times, with regards to serial implementation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBARNABÉ, Sérgio; [et al] – GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing. In 2015 7th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS). Tokyo, Japan: IEEE, 2015. ISBN 978-1-4673-9015-6. Pp. 1-4pt_PT
dc.identifier.doi10.1109/WHISPERS.2015.8075456pt_PT
dc.identifier.isbn978-1-4673-9015-6
dc.identifier.isbn978-1-4673-9014-9
dc.identifier.isbn978-1-4673-9016-3
dc.identifier.issn2158-6276
dc.identifier.urihttp://hdl.handle.net/10400.21/9528
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationSFRH/BPD/94160/2013 - FCTpt_PT
dc.relationBeyond Convexity: Non-Convex Optimization and Game-Theoretic Approaches for Imaging Inverse Problems
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075456pt_PT
dc.subjectHyperspectral imagingpt_PT
dc.subjectCompressive sensing (CS)pt_PT
dc.subjectCoded aperturept_PT
dc.subjectGraphics processing units (GPUS)pt_PT
dc.titleGPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleBeyond Convexity: Non-Convex Optimization and Game-Theoretic Approaches for Imaging Inverse Problems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50008%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-PRO%2F1470%2F2012/PT
oaire.citation.conferencePlace2-5 June 2015 - Tokyo, Japanpt_PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)pt_PT
oaire.fundingStream5876
oaire.fundingStream3599-PPCDT
person.familyNameNascimento
person.familyNamePlaza
person.familyNameDias da Silva
person.givenNameJose
person.givenNameAntonio
person.givenNameVítor
person.identifier.ciencia-id6912-6F61-1964
person.identifier.ciencia-idA912-8252-99D4
person.identifier.orcid0000-0002-5291-6147
person.identifier.orcid0000-0002-9613-1659
person.identifier.orcid0000-0002-1862-1230
person.identifier.ridE-6212-2015
person.identifier.ridC-4455-2008
person.identifier.scopus-author-id55920018000
person.identifier.scopus-author-id7006613644
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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