Convolutional transformer-based few-shot learning for cross-domain hyperspectral image classification

HIGHLIGHTS

• who: Convolutional Transformer-based Few-Shot et al. from the Finally, the nearest neighbor (NN) method is utilized to classify unlabeled samples in the target domain during the testing phase and then generate their classification maps to evaluate the effectiveness of CTFSLIV. E XPERIMENTAL R ESULTS The experiments are performed using software platform Pycharm on a, th Gen Intelr CoreTM i9- KF processor equipped with NVidiar GeForceTM RTX , Ti and GB of RAM, and all codes executed on Python, .7. A. Experimental Data The proposed CTFSL approach for cross-domain HSI classification is performed employing four public . . .
  

   

  

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