Deep learning for mapping tropical forests with tandem-x bistatic insar data

HIGHLIGHTS

• who: José-Luis Bueso-Bello and collaborators from the (UNIVERSITY) have published the research: Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data, in the Journal: (JOURNAL) of 31/Dec/2020
• what: The authors investigate the capabilities of Convolutional Neural Networks (CNNs) for mapping tropical forests at large-scale using TanDEM-X For this purpose the authors rely on a U-Net architecture which takes as input a set of feature maps selected on the basis of previous preparatory works. The authors design an ad hoc training strategy aimed at developing a . . .
  

   

  

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