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Automatic Derivation of Urban Structure Types from Topographic Maps by Means of Image Analysis and Machine Learning

This paper presents a method for automatic derivation of urban structures types with focus on residential areas. It is based on scanned topographic maps at scale 1:25k and a given urban block geometry from a national topographic database. The procedure consists of five steps: (1) definition of a typology of urban structures, (2) extraction of building footprints, (3) computation of measurements to describe the urban structure (4) building classification and (5) derivation of urban structure types on block level.