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Advisor(s)
Abstract(s)
Many Hyperspectral imagery applications require a response in real time or near-real time. To meet this requirement this paper proposes a parallel unmixing method developed for graphics processing units (GPU). This method is based on the vertex component analysis (VCA), which is a geometrical based method highly parallelizable. VCA is a very fast and accurate method that extracts endmember signatures from large hyperspectral datasets without the use of any a priori knowledge about the constituent spectra. Experimental results obtained for simulated and real hyperspectral datasets reveal considerable acceleration factors, up to 24 times.
Description
Keywords
GPU Parallel hyperspectral unmixing method
Citation
NASCIMENTO, José M. P. [et al] - Parallel hyperspectral unmixing method on GPU. Ninth Conference on Telecommunications. 253-256, 2013