Automated building detection isn't exactly novel in remote sensing. People have been doing it for years so they can measure how fast cities develop, monitor inh

Automated building detection isn't exactly novel in remote sensing. People have been doing it for years so they can measure how fast cities develop, monitor inhabited areas after natural disasters and so on. This kind of work is never 100% correct. It usually relies on multi-band imagery so you can figure out what's vegetation and what's roof tile. As far as I know Google does something similar to automate mapping of roads, and then they have a huge team of people cleaning up afterwards. The best solution here (IMO) would be to add a list of potential buildings that should be checked by people either by cross-referencing satellite imagery or by people who actually live in the area.