Parallel hyperspectral unmixing method on GPU

Nascimento, Jose; Silva, Vítor; Bioucas-Dias, José M.; Alves, Rodríguez

http://hdl.handle.net/10400.21/6139

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Authors

Nascimento, Jose

Silva, Vítor

Bioucas-Dias, José M.

Alves, Rodríguez

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.