Building Footprint Extraction
Sample detections using the building footprints (Africa) deep learning model
Who is this for
The Building Footprints Africa deep learning model is developed to extract building footprints. While it's designed to work in Africa, the model is seen to perform fairly well in some other parts of the world. The resultant footprints can be used for a variety of purposes, including base map preparation, humanitarian aid, disaster management, and transportation planning. Applications range from taxation, urban planning, public works, visualization, simulation to a wide range of suitability analysis applications.
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Sample detections
Imagery
This model is expected to perform best with high resolution aerial/satellite imagery (10 - 40 cm resolution)
Licensing requirements
The model can be downloaded by anyone who has an ArcGIS Online subscription. The following licenses are required to consume or run the model.
Using the model
The model can be used with the Detect Objects Using Deep Learning tool. A detailed tutorial on using the model in ArcGIS can be found here and a video for the same can be found here .
Postprocessing (Optional): The tool Regularize Building Footprint can be used to improve the results.