Fusion of LIDAR data and aerial imagery for automatic reconstruction of building surfaces

Abstract

An approach for building reconstruction based on fused information extracted from different data sources, namely LIDAR data (light detection and ranging) and aerial imagery, is proposed. The building reconstruction is performed within the scope of a general surface estimation process. This surface estimation aims at generating a DTM including buildings and vegetation removed. The buildings are reconstructed by applying polyhedral models. Thus a large variety of building types can be described with the only limitation, that the roof surface consists of planes.