Hyperspectral processing in graphical processing units
2011
With the advent of the commercial 3D video card in the mid 1990s, we have seen an order of magnitude performance
increase with each generation of new video cards. While these cards were designed primarily for visualization and video
games, it became apparent after a short while that they could be used for scientific purposes. These Graphical Processing
Units (GPUs) are rapidly being incorporated into data processing tasks usually reserved for general purpose computers.
It has been found that many image processing problems scale well to modern GPU systems. We have implemented four
popular hyperspectral processing algorithms (N-FINDR, linear unmixing, Principal Components, and the RX anomaly
detection algorithm). These algorithms show an across the board speedup of at least a factor of 10, with some special
cases showing extreme speedups of a hundred times or more.
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