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Aerial Imagery and OpenStreetMap Retrieval

Authors: Christopher Tsai, Anuj Karnik

Third assignment for EE 495: Geospatial Vision and Visualization, Northwestern University, Spring 2020.

Tasks

  • Write a program using Bing maps tile system to automatically download aerial imagery (maximum resolution available) given a lat/lon bounding box (for example, [min_lat, max_lat, min_lon, max_lon]).
  • Use OpenStreetMap (OSM) API to retrieve road network/map.
  • Visualize the map, and then overlay the map on the satellite image.

Dependencies

  • PIL
  • OSMnx
  • OpenCV

Results

Northwestern University Campus

Aerial image:

OSM data:

Overlayed image:

Interesting Location (San Salvador, El Salvador)

Aerial image:

OSM data:

Overlayed image:

Problems and Findings

  • Overlay doesn’t exactly match the roads.
    • It seems OSM data is a compressed to the middle.
    • This might be because the OSM data creates a lot of blank space on the sides.
  • Aerial image for levelOfDetail of 18 has good enough quality, past that the code takes longer to run.
  • Work for the future might include using different colors for different OSM edges and nodes as well as including landmark labels (acquired from OSM data).

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