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trailbehind / DeepOSM

Train a deep learning net with OpenStreetMap features and satellite imagery.
MIT License
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add training/label data for buildings #25

Open andrewljohnson opened 8 years ago

andrewljohnson commented 8 years ago

The analysis could be simultaneously analyzing images for buildings, along with the road analysis it already does.

  1. download_labels.py needs to be extended to extract buildings, which isn't very hard
  2. way_bitmap_for_naip needs to be extended to draw and then shade in buildings probably. This still isn't very hard, maybe a tad harder than step 1.
bhack commented 8 years ago

For building and urban areas see also benchmarks and state of the art in http://www2.isprs.org/commissions/comm3/wg4/results.html