Title :
Using robust methods for automatic extraction of buildings
Author :
Vestri, Christophe ; Devernay, Frédéric
Author_Institution :
Res. & Dev., ISTAR, Sophia-Antipolis, France
Abstract :
We present a system for modeling buildings from a single correlation-based digital elevation model (DEM). The model is constructed in two stages. The first stage segments the DEM into planar surface patches that describe the building. The second stage generates the final polygonal model of the building using weak geometric constraints. We use robust estimation methods at different stages of our modeling process to develop an efficient and noise-insensitive modeling system. The proposed system is fully automatic and does not use any a priori information about the shape of the buildings. We present results on isolated buildings and on a large area of the city of Berlin.
Keywords :
estimation theory; feature extraction; image segmentation; stereo image processing; Berlin; automatic building extraction; building modeling; correlation-based digital elevation model; isolated buildings; noise-insensitive modeling system; planar surface patches; polygonal model; robust estimation methods; segmentation; weak geometric constraints; Buildings; Cities and towns; Digital elevation models; Image reconstruction; Noise robustness; Noise shaping; Research and development; Shape; Solid modeling; Wireless networks;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990466