Automated high-resolution earth observation image interpretation: outcome of the 2020 gaofen challenge

HIGHLIGHTS

  • who: X. Sun and collaborators from the DXiang with Beijing University of Chemical Technology, Beijing have published the paper: Automated High-resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge, in the Journal: (JOURNAL)
  • what: The authors report the details and the best-performing methods presented so far in the scope of this The aim of object detection and recognition is to obtain the categories and locations of objects in an image. In the experiment, the mean and standard deviation of optical images are used to normalize the images.
  • how: The . . .

     

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