Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware

@article{Setoain2007ParallelME,
  title={Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware},
  author={Javier Setoain and Manuel Prieto and Christian Tenllado and Antonio J. Plaza and Francisco Tirado},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2007},
  volume={4},
  pages={441-445}
}
Spatial/spectral algorithms have been shown in previous work to be a promising approach to the problem of extracting image end members from remotely sensed hyperspectral data. Such algorithms map nicely on high-performance systems such as massively parallel clusters and networks of computers. Unfortunately, these systems are generally expensive and difficult to adapt to onboard data processing scenarios, in which low-weight and low-power integrated components are highly desirable to reduce… CONTINUE READING

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