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Low power compressive sensing for hyperspectral imagery

dc.contributor.authorNascimento, Jose
dc.contributor.authorVéstias, Mário
dc.date.accessioned2020-03-11T09:40:22Z
dc.date.available2020-03-11T09:40:22Z
dc.date.issued2019-06
dc.description.abstractHyperspectral imaging instruments allow remote Earth exploration by measuring hundreds of spectral bands at very narrow channels of a given spatial area. The resulting hyperspectral data cube typically comprises several gigabytes. Such extremely large volumes of data introduces problems in its transmission to Earth due to limited communication bandwidth. As a result, the applicability of data compression techniques to hyperspectral images have received increasing attention. This paper, presents a study of the power and time consumption of a parallel implementation for a spectral compressive acquisition method on a Jetson TX2 platform. The conducted experiments have been performed to demonstrate the applicability of these methods for onboard processing. The results show that by using this low energy consumption GPU and integer data type is it possible to obtain real-time performance with a very limited power requirement while maintaining the methods accuracy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNASCIMENTO, José M. P.; VÉSTIAS, Mário – Low power compressive sensing for hyperspectral imagery. In 11th Conference on Telecommunications – ConfTele 2019. Sede da Ordem dos Engenheiro – Lisboa (Portugal), June 26-28th, 2019pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/11219
dc.language.isoengpt_PT
dc.relationUID/EEA/50008/2019 - FCTpt_PT
dc.subjectHyperspectral imagerypt_PT
dc.subjectCompressive sensingpt_PT
dc.subjectEmbedded systemspt_PT
dc.titleLow power compressive sensing for hyperspectral imagerypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceJune 26-28th, 2019 – Lisboa, Portugalpt_PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title11th Conference on Telecommunications – ConfTele 2019pt_PT
person.familyNameNascimento
person.familyNameVéstias
person.givenNameJose
person.givenNameMário
person.identifier.ciencia-id6912-6F61-1964
person.identifier.ciencia-id4717-C2C7-3F2C
person.identifier.orcid0000-0002-5291-6147
person.identifier.orcid0000-0001-8556-4507
person.identifier.ridE-6212-2015
person.identifier.ridH-9953-2012
person.identifier.scopus-author-id55920018000
person.identifier.scopus-author-id14525867300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublicationa7d22b29-c961-45ac-bc09-cd5e1002f1e8
relation.isAuthorOfPublication.latestForDiscoveryc7ffc6c0-1bdc-4f47-962a-a90dfb03073c

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