Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling
Rui Zhang, Marcus Freitag
The time OSM mappers invest in labeling the world is valuable. We present how methods from remote sensing, big data distributed computing and artificial intelligence can be combined to support human analysis of geo-spatial data.