We propose a model-based approach to automated 3D extraction of buildings from aerial images. The semantics of the concept building is used to control and to evaluate building extraction in all stages of the process. The semantics is encoded by means of generic 3D object modeling, which describes thematic and geometric constraints on the spatial structure of buildings, and of 2D image modeling, which integrates sensor and illumination modeling to describe the appearance of buildings specific for the given aerial imagery. 3D object and 2D image modeling are tightly coupled within a multi-layered framework which contains an is-part-of-hierarchy of 3D building parts and their corresponding image descriptions. The overall strategy follows the paradigm of hypotheses generation and verification and combines bottom-up and top-down processes. Due to the explicit representation of well defined 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.     «

We propose a model-based approach to automated 3D extraction of buildings from aerial images. The semantics of the concept building is used to control and to evaluate building extraction in all stages of the process. The semantics is encoded by means of generic 3D object modeling, which describes thematic and geometric constraints on the spatial structure of buildings, and of 2D image modeling, which integrates sensor and illumination modeling to describe the appearance of buildings specific for...     »