Disaster cassi cation net: a disaster cation algorithm on remote sensing imagery

HIGHLIGHTS

• who: . and collaborators from the Wuhan University, China have published the research: Disaster cassi cation net: A disaster cation algorithm on remote sensing imagery, in the Journal: (JOURNAL)
• what: The authors examine the uncertainty and vast scale of natural disaster occurrence, the authors classify the primary natural hazards in real time, and monitoring is essential. In 2018, SENet (HermineMariette et_al, 2021) model was proposed to make the model focus on important parts.
• how: Frontiers in Environmental Science frontiersin.org 10.3389/fenvs.2022.1095986 According to the guideline for the loss of people . . .
  

   

  

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