Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy

Maribel I. Castillo, Juan Carlos Fernandez, Francisco D. Igual, Antonio Plaza, Enrique S. Quintana-Orti, Alfredo Remon
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
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
more » ... 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.
doi:10.1109/jstars.2013.2266927 fatcat:wku6xdgv6vcgpgkrlchrd7p6su