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Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation.

Roberto E. HuertaFabiola D. YépezDiego F. Lozano-GarcíaVíctor H. Guerra CobiánAdrián L. Ferriño FierroHéctor de León GómezRicardo A. Cavazos GonzálezAdriana Vargas-Martínez
Published in: Remote. Sens. (2021)
Keyphrases
  • deep learning
  • satellite imagery
  • weakly supervised
  • urban areas
  • remote sensing
  • unsupervised learning
  • satellite images
  • machine learning
  • superpixels
  • topic models
  • object categories
  • relation extraction