Open Access
9- https://doi.org/10.1109/jstars.2013.2266927
Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
- Jun 1, 2014
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Maribel I Castillo +5 more
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.
- # Ease Of Programming
- # Energy Consumption
- # Onboard Processing
- # Multicore Architectures
- # Digital Signal Processor
- # Processing Energy Consumption
- # Processing Time
- # Exploration Of Architectures
- # Perspective Of Time
- # Low-power Signal
