| Keterangan |
: This paper describes a knowledge-based approach to automatic D reconstruction of buildings from aerial imagery. The approach relies upon the use of 2D GIS map and knowledge about the imaging geometry and acquisition parameters. We show that by integrating knowledge from the images and the GIS map, the complexity of the building reconstruction process can be greatly reduced. In the first stage the buildings are localized in the images based on information about the ground planes of the buildings contained in the GIS map. This restricts the processing at all following stages to one building structure. Further, a building can be partitioned into more simple building parts, corresponding to some basic building models. By merging the separately reconstructed building parts the initial building model is found. The building reconstruction process is described as a tree search in the space of possible building hypotheses.
Automatic 3D building reconstruction has becoming increasingly important for a number of applications. The reconstruction of buildings using only aerial images as data source has been proven to be a very difficult problem. The complexity of the reconstruction can be greatly reduced by combining the aerial images with other data sources. In this paper, we describe a 3D building reconstruction method that integrates the aerial image analysis with information from large-scale 2D Geographic Information System (GIS) databases and domain knowledge. By combining the images with GIS data, the specific strengths of both the images (high resolution, accuracy, and large-information content) and the GIS data (relatively simple interpretation) are exploited. |
