Deep-separation guided progressive reconstruction network for semantic segmentation of remote sensing images

HIGHLIGHTS

• who: Jiabao Ma and collaborators from the School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China have published the paper: Deep-Separation Guided Progressive Reconstruction Network for Semantic Segmentation of Remote Sensing Images, in the Journal: (JOURNAL)
• what: To solve these problems the authors propose a progressive reconstruction network that achieves accurate RSI segmentation. The authors design a decoder comprising progressive reconstruction blocks capturing detailed features at various resolutions through multi-scale features obtained from various receptive fields to preserve accuracy during reconstruction. Subsequently the authors propose a module that . . .
  

   

  

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