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The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy.

Sornkitja BoonprongChunxiang CaoWei ChenXiliang NiMin XuBipin Kumar Acharya
Published in: ISPRS Int. J. Geo Inf. (2018)
Keyphrases
  • classification accuracy
  • machine learning
  • pattern recognition
  • feature space
  • feature selection
  • feature extraction
  • data streams
  • object recognition
  • unsupervised learning
  • dimension reduction
  • remotely sensed data