authors |
Rottensteiner, Franz |
year |
2001 |
title |
Semi-automatic extraction of buildings based on hybrid adjustment using 3D surface models and management of building data in a TIS |
source |
Vienna University of Technology |
summary |
A new method for semi-automatic building extraction together with a concept for storing building models alongside with terrain data in a topographical information system (TIS) is presented. A user interface based on Constructive Solid Geometry is combined with an internal data structure completely based on boundary representation. Each building can be de-composed into a set of simple primitives which are reconstructed individually. After selecting a primitive from a data base of common building shapes, the primitive parameters can be modified by interactive measurement in digital images in order to provide approximate values for automatic fine measurement. In all phases, the properties of the boundary models are directly connected to parameter estimation: the parameters of the building primitives are determined in a hybrid adjustment of camera co-ordinates and fictitious observations of points being situated on building faces. Automatic fine measurement is an application of a general framework for object surface reconstruction using hierarchical feature based object space matching. The integration of object space into the matching process is achieved by the new modeling technique. The management of both building and terrain data in a TIS is based on a unique principle. Meta data are managed in a relational data base, whereas the actual data are treated as binary large objects. The new method is evaluated in a test project (image scale: 1:4500, 70 % overlap, 50 % side lap). The automatic tool gives results with an accuracy of +-2-5 cm in planimetric position and +-5-10 cm in height. |
keywords |
Building Extraction; Semi-automatic building extraction; Object modelling; 3D City models; Data acquisition; Spatial Information Systems; Image matching; Photogrammetry |
series |
thesis:PhD |
email |
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more |
http://www.ipf.tuwien.ac.at/fr/buildings/diss/node5.html |
full text |
file.pdf (3,331,822 bytes) |
references |
Content-type: text/plain
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last changed |
2003/02/12 22:37 |