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A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks.

Maria PapadomanolakiMaria VakalopoulouKonstantinos Karantzalos
Published in: Remote. Sens. (2019)
Keyphrases
  • deep learning
  • weakly supervised
  • remote sensing data
  • semantic segmentation
  • machine learning
  • unsupervised learning
  • computer vision
  • probabilistic model
  • object tracking
  • superpixels