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Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
dc.contributor.author | Castillo Catalán, María Isabel | |
dc.contributor.author | Fernández Fernández, Juan Carlos | |
dc.contributor.author | Igual, Francisco | |
dc.contributor.author | Plaza, Antonio | |
dc.contributor.author | Quintana-Orti, Enrique S. | |
dc.contributor.author | Remón Gómez, Alfredo | |
dc.date.accessioned | 2015-07-29T14:00:37Z | |
dc.date.available | 2015-07-29T14:00:37Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1939-1404 | |
dc.identifier.uri | http://hdl.handle.net/10234/129439 | |
dc.description.abstract | Wider coverage of observation missions will increase onboard power restrictions while, at the same time, pose higher demands from the perspective of processing time, thus asking for the exploration of novel high-performance and low-power processing architectures. In this paper, we analyze the acceleration of spectral unmixing, a key technique to process hyperspectral images, on multicore architectures. To meet onboard processing restrictions, we employ a low-power Digital Signal Processor (DSP), comparing processing time and energy consumption with those of a representative set of commodity architectures. We demonstrate that DSPs offer a fair balance between ease of programming, performance, and energy consumption, resulting in a highly appealing platform to meet the restrictions of current missions if onboard processing is required. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | IEEE | ca_CA |
dc.relation.isPartOf | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2014, vol. 7, nº 6 | ca_CA |
dc.rights | (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | digital signal processors | ca_CA |
dc.subject | hyperspectral imaging | ca_CA |
dc.subject | energy consumption | ca_CA |
dc.subject | high performance computing | ca_CA |
dc.title | Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1109/JSTARS.2013.2266927 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550903&tag=1 | ca_CA |
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