Road Extraction

Leveraging crowdsourced GPS data to improve and support road extraction from aerial imagery.

Combining satellite imagery with GPS data to improve road extraction quality

A new method for road extraction using stacked U-Nets with multiple output, hybrid loss function used to address the problem of unbalanced classes of training data, and post-processing methods to bridge prediction gaps.