Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D

We propose a model-based approach to automated 3D extraction of buildings from aerial images. We focus on a reconstruction strategy that is not restricted to a small class of buildings. Therefore, we employ a generic modeling approach which relies on the well de ned combination of building part models. Building parts are classi ed by their roof type. Starting from low-level image features we combine data-driven and model-driven processes within a multi-level aggregation hierarchy, thereby using a tight coupling of 2D image and 3D object modeling and processing, ending up in complex 3D building estimations of shape and location. Due to the explicit representation of well de ned processing states in terms of model-based 2D and 3D descriptions at all levels of modeling and data aggregation our approach reveals a great potential for a reliable building extraction.