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In this letter, we present a new parallel implementation of the vertex component analysis (VCA) algorithm for spectral unmixing of remotely sensed hyperspectral data on commodity graphics processing units. We first developed a C serial version of the VCA algorithm and three parallel versions: one using NVIDIA's Compute Unified Device Architecture (CUDA), another using CUDA basic linear algebra subroutines library CUBLAS, and the last using the CUDA linear algebra library CULA. Experimental results, based on the analysis of hyperspectral images acquired by a variety of hyperspectral imaging sensors, show the effectiveness of our implementation, which satisfies the real-time constraints given by the data acquisition rate. © 2012 IEEE.

Original publication

DOI

10.1109/LGRS.2012.2200452

Type

Journal article

Journal

IEEE Geoscience and Remote Sensing Letters

Publication Date

01/01/2013

Volume

10

Pages

251 - 255