Aggregated-attention transformation network for hyperspectral image classification

HIGHLIGHTS

• who: -Hyperspectral image classification et al. from the (MaxPool) ρmax : X → Xmax ∈ andlt have published the article: Aggregated-Attention Transformation Network for Hyperspectral Image Classification, in the Journal: (JOURNAL)
• what: Preliminary transformations: Another experiment is conducted to compare the effectiveness of the preliminary transformations. The authors propose an aggregate attention module to explore the interaction between multiscale features and guide the feature extraction process.
• how: A learnable aggregated attention module is proposed to explore the correlations and complementarities between multi-scale features. The authors conducted an ablation experiment in Table VII to illustrate . . .
  

   

  

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