Automated Cartography of Buildings And Walls/Fences From Very High Resolution Satellite Imagery

The recent introduction of very high resolution satellite imagery (30 cm/pixel) allows us to propose a pipeline for automated cartography of major man-made structures such as buildings and especially the novel class of wall/fence. Extraction is performed by deep learning then geometry is reconstructed and regularized to fit mapping specifications. The final step is an algorithm to ensure the coherence of the map between classes (here building and wall/fence), which is very important for mapping, avoiding gaps or overlaps of objects.