Landslide mapping using multi-level feature enhancement change detection network

HIGHLIGHTS

• who: -Landslide mapping (LM and colleagues from the Smart Cities Research Institute, the Hong Kong Polytechnic University (Work have published the article: Landslide Mapping Using Multi-Level Feature Enhancement Change Detection Network, in the Journal: (JOURNAL)
• what: In this paper a multi-level feature enhancement network (MFENet) is proposed for based on modules built in convolutional neural network (CNN) like CNNAttention. The authors propose an end-to-end change detection network named multi-level feature enhancement network (MFENet) for LM.
• how: Flip rotate blur and GridMask are randomly adopted to enhance the data . . .
  

   

  

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