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Automatic Mapping of Landslides by the ResU-Net
2020
Remote Sensing
Massive landslides over large regions can be triggered by heavy rainfalls or major seismic events. Mapping regional landslides quickly is important for disaster mitigation. In recent years, deep learning methods have been successfully applied in many fields, including landslide automatic identification. In this work, we proposed a deep learning approach, the ResU-Net, to map regional landslides automatically. This method and a baseline model (U-Net) were collectively tested in Tianshui city,
doi:10.3390/rs12152487
fatcat:x4pm27246jctlevezkrgx4knyy