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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
GPU Parallel hyperspectral unmixing method
Contexto Educativo
Citação
NASCIMENTO, José M. P. [et al] - Parallel hyperspectral unmixing method on GPU. Ninth Conference on Telecommunications. 253-256, 2013