Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 11, Issue 3, Pages 666-670Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2013.2274328
Keywords
Graphics processing unit (GPU); parallel methods; sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL); unsupervised hyperspectral unmixing; vertex component analysis (VCA)
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Funding
- Instituto de Telecomunicacoes
- Fundacao para a Ciencia e Tecnologia [PEst-OE/EEI/LA0008/2013]
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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 endmember 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 real-time response required by many remotely sensed hyperspectral applications.
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