On the Evaluation of Different High-Performance Computing Platforms for Hyperspectral Imaging: An OpenCL-Based Approach

@article{Guerra2017OnTE,
  title={On the Evaluation of Different High-Performance Computing Platforms for Hyperspectral Imaging: An OpenCL-Based Approach},
  author={Ra{\'u}l Guerra and Ernestina Martel and Jehandad Khan and Sebasti{\'a}n L{\'o}pez and Peter M. Athanas and Roberto Sarmiento},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2017},
  volume={10},
  pages={4879-4897}
}
Hyperspectral imaging systems are a powerful tool for obtaining surface information in many different spectral channels that can be used in many different applications. Nevertheless, the huge amount of information provided by hyperspectral images also has a downside, since it has to be processed and analyzed. For such purpose, parallel hardware devices, such as field-programmable gate arrays (FPGAs) and graphic processing units (GPUs), are typically used, especially for hyperspectral imaging… CONTINUE READING

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