EuroSDR Projects - Host Ireland

Step 3: Import to CCModeler
Figure 3-2: Point definition in CC-Modeler.
As a topology generator, CC-Modeler generates roof topology from manually measured point clouds.
The collected data from Step 2 is imported to CC-Modeler. This workflow can be followed
automatically or in step mode for detecting face mistakes that can occur due to inadequate point
measurement or very complicated structures.
The vector data of the 3D objects (roof polygons) are projected onto the original aerial image or
orthophoto to check how the measured data fits to the ground.
To generate vertical walls, the roof border polygon is projected onto the DTM and intersected with it.
Step 4: Refinement in CC-Edit
Besides other functions, the measured objects, that are as close as possible to their existing size and
shape, can be regularized with some functions with CC-Edit. CC-Edit uses two strategies: automatic
adjustment based on least squares and an approach of CAD editing. The aim of the editing process is
the generation of a 3D model that meets the following conditions: 1) Same height for groups of eaves
and ridge points, 2) Roof faces with more than 3 points should be planar, 3) Collinearity of eaves and
ridge lines, 4) Right angles in main structures.
Step 5: Final control of the data
To avoid errors, the data is checked as a last step another time by overlapping model and aerial data in
the stereo mode of Visual Star. This helps to avoid errors in location and completeness of the dataset.
Step 6: Export to the desired format in CC-Edit
Through an interface in the CC-Edit, the files can be written directly to the DXF format.
3.1.2.3 Hamburg University of Applied Sciences
Hamburg University of Applied Sciences used a digital photogrammetric workstation DPW770 with
SocetSet from BAE Systems / Leica Geosystems to extract buildings using aerial images, camera
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