Parallel Hyperspectral Unmixing on GPUs
Instituto de Telecomunicacoes, 1049-001, Lisbon, Portugal
IEEE Geoscience and Remote Sensing Letters, 2013
@article{nascimento2013parallel,
title={Parallel Hyperspectral Unmixing on GPUs},
author={Nascimento, Jos{‘e} MP and Bioucas-Dias, Jos{‘e} M and Alves, Jos{‘e} M Rodr{‘i}guez and Silva, V{‘i}tor and Plaza, Antonio},
year={2013}
}
This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL). First, VCA extracts the end-member signatures, and then, SUNSAL is used to estimate the abundance fractions. Both techniques are highly parallelizable, which significantly reduces the computing time. A design for the commodity graphics processing units of the two methods is presented and evaluated. Experimental results obtained for simulated and real hyperspectral data sets reveal speedups up to 100 times, which grants realtime response required by many remotely sensed hyperspectral applications.
October 2, 2013 by hgpu
