Detecting slow-moving landslides using insar phase-gradient stacking and deep-learning network

HIGHLIGHTS

• who: August and collaborators from the Max Planck Institute for Chemistry, Germany University of Bologna, Italy have published the Article: Detecting slow-moving landslides using InSAR phase-gradient stacking and deep-learning network, in the Journal: (JOURNAL) of 10/Oct/2018
• what: The authors compare the detection effect of different networks on the test dataset . The authors show boundaries of 3 active landslides among the 100 random selected targets in Figure 8. In the following sub-sections, the authors focus on Danba County and the middle section of Yalong River (white rectangles in Figure 7 . . .
  

   

  

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