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A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification.

Pei-Jyun HsiehCheng-Hsuan LiBor-Chen Kuo
Published in: IGARSS (2015)
Keyphrases
  • feature selection
  • data sets
  • class separability
  • machine learning
  • feature space
  • training set
  • edge detection
  • dimensionality reduction
  • support vector machine svm
  • high dimensionality
  • feature subset