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FPGA-based architecture for hyperspectral unmixing

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dc.contributor.authorNascimento, Jose
dc.contributor.authorVéstias, Mário
dc.contributor.authorMartin, Gabriel
dc.date.accessioned2016-04-26T11:01:43Z
dc.date.available2016-04-26T11:01:43Z
dc.date.issued2015
dc.description.abstractThis paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral datasets. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems.pt_PT
dc.identifier.citationNASCIMENTO, José; [et al] - FPGA-based architecture for hyperspectral unmixing. IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. 2015. ISBN 978-1-4799-7929-5. Pp. 1761-1764pt_PT
dc.identifier.doi10.1109/IGARSS.2015.7326130pt_PT
dc.identifier.isbn978-1-4799-7929-5
dc.identifier.urihttp://hdl.handle.net/10400.21/6086
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEE-Institute Electrical Electronics Engineers INCpt_PT
dc.subjectField programmable gate arrayspt_PT
dc.subjectHyperspectral imagingpt_PT
dc.subjectImage processingpt_PT
dc.subjectSystem-on-chippt_PT
dc.titleFPGA-based architecture for hyperspectral unmixingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBarcelona, Spainpt_PT
oaire.citation.endPage1764pt_PT
oaire.citation.startPage1761pt_PT
oaire.citation.titleIGARSS 2015, 2015 IEEE International Geoscience and Remote Sensing Symposiumpt_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.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublicationa7d22b29-c961-45ac-bc09-cd5e1002f1e8
relation.isAuthorOfPublication.latestForDiscoverya7d22b29-c961-45ac-bc09-cd5e1002f1e8

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