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Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detection.

Lingxiao ZhuGongjian WenShaoHua Qiu
Published in: Remote. Sens. (2018)
Keyphrases
  • anomaly detection
  • remote sensing
  • low rank matrix
  • low rank
  • image data
  • similarity measure
  • cluster analysis
  • unsupervised learning
  • clustering algorithm
  • matrix factorization
  • reinforcement learning
  • data points