Attention swin transformer unet for landslide segmentation in remotely sensed images

HIGHLIGHTS

• What: To address these issues the authors propose a novel deep learning model called AST-UNet in this paper. The authors compare the landslide segmentation accuracy of different models based on the above indices and analyze their advantages and disadvantages. To evaluate the generalization of the model , the authors visualize the landslide segmentation results on the test datasets as shown in Figure 10. UNet and the model have better segmentation performances, while the other models fail to clearly distinguish the two landslide bodies.
• Who: Bingxue Liu and collaborators from the State Key Laboratory of Resources . . .
  

   

  

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