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A New Minimum-Volume Enclosing Algorithm for Endmember Identification and Abundance Estimation in Hyperspectral Data.

Eligius M. T. HendrixInmaculada GarcíaJavier PlazaGabriel MartínAntonio Plaza
Published in: IEEE Trans. Geosci. Remote. Sens. (2012)
Keyphrases
  • k means
  • worst case
  • hyperspectral imagery
  • minimum volume
  • data sets
  • machine learning
  • learning algorithm
  • high dimensional
  • image data
  • input data
  • support vector machine svm
  • convergence rate
  • hyperspectral images