Improved swin transformer-based semantic segmentation of postearthquake dense buildings in urban areas using remote sensing images

HIGHLIGHTS

• who: -Attention mechanism et al. from the with the School of Civil Engineering and Mechanics, Lanzhou University have published the article: Improved Swin Transformer-Based Semantic Segmentation of Postearthquake Dense Buildings in Urban Areas Using Remote Sensing Images, in the Journal: (JOURNAL) of 26/Oct/2022
• what: In this article, a four-level pyramid pooling is designed to individually perform the pooling operation for the whole, half of, a third of, and a sixth of the input feature map.
• how: This paper proposes an to segment dense urban buildings from with complex backgrounds . . .
  

   

  

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