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Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data.

Emanuele SantiSimonetta PalosciaSimone PettinatoGiovanni CuozzoAntonio PadovanoClaudia NotarnicolaClement Albinet
Published in: Remote. Sens. (2020)
Keyphrases
  • machine learning
  • sar data
  • synthetic aperture radar
  • sar images
  • image retrieval
  • sar imagery
  • infrared
  • sar imaging
  • computer vision
  • feature space
  • image data
  • edge detection
  • model selection