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PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal.

Alessandro SebastianelliErika PuglisiMaria Pia del RossoJamila MifdalArtur NowakowskiPierre-Philippe MathieuFiora PirriSilvia Liberata Ullo
Published in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
  • spatial and temporal
  • pixel level
  • data sets
  • space time
  • machine learning
  • training data
  • high quality
  • spatio temporal
  • image data
  • clustering algorithm
  • object recognition
  • object detection
  • feature maps