Double-branch feature fusion transformer for hyperspectral image classification

HIGHLIGHTS

• who: Lanxue Dang from the Henan Key LaboratoryHenan University have published the article: Double-branch feature fusion transformer for hyperspectral image classification, in the Journal: Scientific Reports Scientific Reports
• what: The authors design a CNN-based spectral attention module and a spatial attention module, which can adaptively adjust the importance of spectral and spatial features of the input data, and extract rich spectral and spatial features.. The authors design a feature fusion layer to fuse the features extracted by the two branches to improve the performance of the model. To decrease the influence of the . . .
  

   

  

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