Automatic Extraction of Buildings and Terrain from Aerial Images

A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Model-to-image registration techniques are applied to align new images with the site model, and model extension and refinement procedures are performed to acquire previously unseen buildings and improve the geometric accuracy of the existing 3D models. A correlation-based terrain recovery algorithm provides complementary information about the site, in the form of a digital elevation map.

[1]  Michel Roux,et al.  Feature matching for building extraction from multiple views , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[2]  H. Schultz.  Terrain Reconstruction from Oblique Views , 1994 .

[3]  Edward M. Riseman,et al.  Hybrid weak-perspective and full-perspective matching , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Allen R. Hanson,et al.  Robust methods for estimating pose and a sensitivity analysis , 1994 .

[5]  Donald J. Gerson.  RADIUS: the government viewpoint , 1992, Other Conferences.

[6]  Robert T. Collins,et al.  Task driven perceptual organization for extraction of rooftop polygons , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[7]  Edward M. Riseman,et al.  Token-based extraction of straight lines , 1989, IEEE Trans. Syst. Man Cybern..