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Sulzer, Raphael (author), Nourian, Pirouz (author), Palmieri, M. (author), van Gemert, J.C. (author)
This paper investigates automatic prediction of seismic building structural types described by the Global Earthquake Model (GEM) taxonomy, by combining remote sensing, cadastral and inspection data in a supervised machine learning approach. Our focus lies on the extraction of detailed geometric information from a point cloud gained by aerial...
conference paper 2018