Bssnet: building subclass segmentation from satellite images using boundary guidance and contrastive learning

HIGHLIGHTS

• who: Haofeng Xie and collaborators from the (UNIVERSITY) have published the research work: BSSNet: Building Subclass Segmentation From Satellite Images Using Boundary Guidance and Contrastive Learning, in the Journal: (JOURNAL)
• what: The boundary information can make the localization more accurate, so the authors propose the spatial gradient fusion (SGF) module to improve the boundary by refining the spatial gradient map. A. Building Segmentation Building segmentation is one of the most popular research focuses in remote sensing information extraction. B. Building Subclass Segmentation Although the automatic recognition of building subclass is meaningful to urban planning , humanitarian . . .
  

   

  

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