Revive the map: 4-D building reconstruction with machine learning

A research team from Skoltech and FBK (Italy) has presented a methodology to derive 4-D building models using historical maps and machine learning. The implemented method relies on geometric, neighborhood, and categorical attributes in order to predict building heights. The method is useful for understanding urban phenomena and changes that contributed to defining our cities' actual shape. The results were published in Applied Sciences.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3bxbvKg

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