Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
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Otros documentos de la autoría: Castillo Catalán, María Isabel; Fernández Fernández, Juan Carlos; Igual, Francisco; Plaza, Antonio; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Título
Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for EnergyAutoría
Fecha de publicación
2014Editor
IEEEISSN
1939-1404Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550903&tag=1Palabras clave / Materias
Resumen
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- ... [+]
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. [-]
Publicado en
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2014, vol. 7, nº 6Derechos de acceso
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