Branch feature fusion convolution network for remote sensing scene classification

HIGHLIGHTS

• who: Remote Sensing Scene Classification and collaborators from the (UNIVERSITY) have published the Article: Branch Feature Fusion Convolution Network for Remote Sensing Scene Classification, in the Journal: (JOURNAL)
• what: In view of the problem that the bilinear convolution structure improves the complexity of the model, the authors proposed three kinds of convolution structures, which combined DSC and CConv, to greatly reduce the amounts of parameters and computational complexity of the model.
• how: The experimental results showed that compared with recent methods the number of weight parameters of the proposed method only accounted for . . .
  

   

  

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