Site model acquisition and extension from aerial images

A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. This 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 multiimage triangulation. Model-to-image registration techniques are applied to align new, incoming images against the site model. Model extension and refinement procedures are then performed to add previously unseen buildings and to improve the geometric accuracy of the existing 3D building models.<<ETX>>

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

[2]  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.

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

[4]  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.

[5]  Allen R. Hanson,et al.  Site Model Acquisition under the UMass RADIUS Project , 1994 .

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

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

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