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Parallelization of hyperspectral imaging classification and dimensionality reduction algorithms
(2004)
Hyperspectral imaging provides the capability to identify and classify materials remotely. The applications of such technology is applied everywhere from medical devices and military targets to environmental sciences. With ...
Using grid computing to enable hyperspectral imaging analysis
(2004)
Hyperspectral imaging analysis demands large input data sets and in turn re- quires signi¯cant CPU time and memory capacity. Grid Computing has the potential of improving the performance of these types of data and computational ...