A novel double ensemble algorithm for the classification of multi-class imbalanced hyperspectral data

HIGHLIGHTS

• who: Daying Quan and colleagues from the College of Information Engineering, China Jiliang University, Hangzhou, China have published the research work: A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data, in the Journal: (JOURNAL) of 22/06/2022
• what: The aim of the feature-level methods is to select a subset of K features from the original feature space, to increase the distinction between majority and minority classes. The aim of this section is as follows: 1 2 3 Present the performance of DRF in dealing with the hyperspectral datasets . . .
  

   

  

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