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described in Section 3, followed by building extraction in Section 4. Results of tests are given in Section 5 and a
conclusion is drawn in Section 6.
2. OVERVIEW
In this research, a building is modelled as a polyhedron, comprising planes that are connected to form a solid volume.
The intersections of adjacent planes are straight lines. Furthermore, the polyhedron has a set of attributes and
knowledge describing its geometry, radiometry, texture, topology, and context. From this model and for attacking the
complexity of the problem, the designed system consists of three parts, namely building detection, building segment
extraction and 3D segment matching and building modelling. Within this hierarchical framework, the processes of
building detection and reconstruction are purposely separated to achieve greater reliability and efficiency. For the same
reason 2D and 3D procedures are applied mutually cooperatively. Hence, buildings are hierarchically reconstructed
from global detection to local modelling, that is, from coarse to fine details. In addition, all components of the system
are modular, thus allowing flexibility and extendability of the system and components. Figure 1 shows a block diagram
of the system.
3D Buildings
Building Modelling agg — — — —,
^
— Feature Matching
1
Building Detection
A
Building Segment
Extraction
DSM Segmentation
Shadow Extraction A Texture Analysis
DSM Acquisition
A
Domain, Context
Knowledge
Figure 1. Block Diagram of the System
The detection process starts with segmentation of DSM (digital surface model) to derive regions of interest (ROIs)
which have high expectancy of representing individual buildings. Texture and shadow information are extracted and
used to refine and verify ROIs. All subsequent reconstruction procedures are focused locally on those detected building
regions, thus greatly reducing the complexity of reconstruction process. Buildings are constructed in a bottom-up
approach. Primitive linear features are first derived, and relevant building segments are extracted by grouping and
filtering these primitive features within individual building regions. 3D lines are then generated by feature matching of
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 1027