Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45009
Title: Parallel implementation of a hyperspectral unmixing chain: Graphic processing units versus multi-core processors
Authors: Bernabe, Sergio
Plaza, Antonio
Lopez, Sebastian 
Sarmiento, Roberto 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Hyperspectral imaging
Graphics processing unit
Vectors
Multicore proccesing
Kernel
Real-time systems
Issue Date: 2012
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 
Abstract: Spectral unmixing is an important tast for remotely sensed hyperspectral imaging. Spectral unmixing algorithms can be computationally expensive. In this paper, we develop two efficient implementations of a full hyperspectral unmixing chain on two different kinds of high performance computing architectures: graphics processing units (GPUs) and multi-core processors. These platforms are inter-compared in the context of hyperspectral unmixing. Our experimental results reveal that both GPUs and multi-core processors can provide real-time unmixing performance when properly implemented in this kind of parallel platforms.
URI: http://hdl.handle.net/10553/45009
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2012.6350675
Source: International Geoscience and Remote Sensing Symposium (IGARSS) (6350675), p. 3463-3466
Appears in Collections:Actas de congresos
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