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Hyperspectral compressive sensing with a system-on-chip FPGA

2020Journal article Open access
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dc.contributor.authorNascimento, Jose
dc.contributor.authorVéstias, Mário
dc.contributor.authorMartín, Gabriel
dc.date.accessioned2020-07-10T12:55:02Z
dc.date.available2020-07-10T12:55:02Z
dc.date.issued2020
dc.description.abstractAdvances in hyperspectral sensors have led to a significantly increased capability for high-quality data. This trend calls for the development of new techniques to enhance the way that such unprecedented volumes of data are stored, processed, and transmitted to the ground station. An important approach to deal with massive volumes of information is an emerging technique, called compressive sensing, which acquires directly the compressed signal instead of acquiring the full dataset. Thus, reducing the amount of data that needs to be measured, transmitted, and stored in first place. In this article, a hardware/software implementation in a system-on-chip (SoC) field-programmable gate array (FPGA) for compressive sensing is proposed. The proposed hardware/software architecture runs the compressive sensing algorithm with a unitary compression rate over an airborne visible/infrared imaging spectrometer sensor image with 512 lines, 614 samples, and 224 bands in 0.35 s. The proposed system runs 49× and 216× faster than na embedded 256-cores GPU of a Jetson TX2 board and the ARM of the SoC FPGA, respectively. In terms of energy, the proposed architecture requires around 100× less energy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNASCIMENTO, José M. P.; VÉSTIAS, Mário P.; MARTÍN, Gabriel – Hyperspectral compressive sensing with a system-on-chip FPGA. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ISSN 2151-1535. Vol. 13 (2020), pp. 3701-3710pt_PT
dc.identifier.doi10.1109/JSTARS.2020.2996679pt_PT
dc.identifier.issn2151-1535
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/10400.21/12029
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9103232pt_PT
dc.subjectCompressive sensingpt_PT
dc.subjectField-programmable gate arrays (FPGA)pt_PT
dc.subjectHyperspectral imagerypt_PT
dc.subjectOn-board processingpt_PT
dc.subjectReal timept_PT
dc.titleHyperspectral compressive sensing with a system-on-chip FPGApt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage3710pt_PT
oaire.citation.startPage3701pt_PT
oaire.citation.titleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingpt_PT
oaire.citation.volume13pt_PT
person.familyNameNascimento
person.familyNameVéstias
person.familyNameMartín
person.givenNameJose
person.givenNameMário
person.givenNameGabriel
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.orcid0000-0001-8496-6459
person.identifier.ridE-6212-2015
person.identifier.ridH-9953-2012
person.identifier.scopus-author-id55920018000
person.identifier.scopus-author-id14525867300
person.identifier.scopus-author-id35170599100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublicationa7d22b29-c961-45ac-bc09-cd5e1002f1e8
relation.isAuthorOfPublicatione390af24-f98c-4fda-a6d7-3b0c505e39ad
relation.isAuthorOfPublication.latestForDiscoverya7d22b29-c961-45ac-bc09-cd5e1002f1e8

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