Building Extraction from Multiple Data Sources: a Data Fusion Framework for Reconstruction of Generic Models

Automated building extraction from multi-source data has attracted great attention in recent years. This paper presents an approach to automated building extraction by fusion of image data, height data and 2D ground plans. In this approach buildings are detected using ground plans and height data. A split-and-merge process is applied to fuse image and height data and derive the parametric forms of roof planes. Vegetation regions are identified and discarded using the image information in red and infrared channels. Walls are reconstructed as vertical planes upon the ground plan. The model planar faces are finally intersected and resulting plane patches are assembled together to form a generic polyhedral model. Results of the experimental testing indicate the promising performance of the proposed approach in automatic detection and reconstruction of buildings.