ISPRS Commission III, Vol.34, Part 3A „Photogrammetric Computer Vision“, Graz, 2002
Figure 3. Extracted 3D roads and road network (the black lines)
in test site Thun, Switzerland Figure 5. Extracted 3D roads and road network in test site in
Belgium superimposed on image as black lines
Figure 6. Details of road extraction and junction generation in
Belgium dataset. Extracted roads are shown in black
lines and outdated roads in white lines
Quality Measures Figure3 | Figure 5
Completeness 93% 97.6%
Correctness 96.3% 98.1%
dx -0.08 0.04
Mean of dy 0.07 -0.11
difference dz 0.19 0.27
dx 0.45 0.57
RMS of dy 0.31 0.72
difference | dz 0.62 0.89
Table 2. Quality evaluation (in m) of the reconstructed roads
using manually measured reference data for the
Swiss and Belgium datasets
Figure 4. Details of road extraction in the test sites in 6. DISCUSSION AND CONCLUSION
Switzerland. The Extracted roads are shown in black
lines and outdated roads in white lines. a) Road We presented a knowledge-based image analysis system for
extraction and junction generation, b) extracted lane road extraction from stereo aerial images. The system has
border lines and lane centerlines on a highway several advantages over other approaches. It uses existing
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