Automatic identification of landslides based on deep learning

HIGHLIGHTS

• who: Shuang Yang et al. from the School of Information Engineering, China University of Geosciences, Beijing, China have published the Article: Automatic Identification of Landslides Based on Deep Learning, in the Journal: (JOURNAL)
• what: The mIoU is 91.18% which represents high accuracy; Through this experiment the authors demonstrated the feasibility and effectiveness of deep learning methods in landslide identification. The authors process the landslide data in the Bijie landslide dataset, create a landslide dataset, and preprocess the dataset (data cleaning, data enhancement); On the landslide dataset, the authors use three models (U-Net, DeepLab . . .
  

   

  

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