Efficient statistical classification of satellite measurements

@article{Mills2011EfficientSC,
  title={Efficient statistical classification of satellite measurements},
  author={Peter Mills},
  journal={International Journal of Remote Sensing},
  year={2011},
  volume={32},
  pages={6109 - 6132}
}
  • P. Mills
  • Published 10 October 2011
  • Computer Science
  • International Journal of Remote Sensing
Supervized statistical classification is a vital tool for satellite image processing. It is useful not only when a discrete result, such as feature extraction or surface type, is required, but also for continuum retrievals by dividing the quantity of interest into discrete ranges. Because of the high resolution of modern satellite instruments and because of the requirement for real-time processing, any algorithm has to be fast to be useful. Here we describe an algorithm based on kernel… 

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