Extracting Buildings from Digital Surface models

This paper describes an approach for building extraction using Digital Surface Models (DSM) as input data. The first task is the detection of areas within the DSM which describe buildings. The second task is the reconstruction of buildings for which we apply parametric and prismatic building models. The main focus is on the detection, namely on the use of height and differential geometric information to discriminate building and vegetation areas. Furthermore, recent results for the extraction of roof structures as first step towards the extraction of polyhedral building descriptions are presented.