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F. Rottensteiner, M. Schulze:
"Performance Evaluation of a System for Semi-automatic Building Extraction Using Adaptable Primitives";
Talk: ISPRS Workshop, Munich; 2003-09-17 - 2003-09-19; in: "Photogrammetric Image Analysis", H. Ebner, C. Heipke, H. Mayer, K. Pakzad (ed.); International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences, Volume XXXIV-3/W8 (2003), 47 - 52.

The performance of a system for semi-automatic building extraction from digital aerial images is evaluated. Using this system, buildings are reconstructed by a combination of parametric primitives that are approximately positioned in the images by a human operator, whereas their parameters can be determined precisely by automatic procedures. Unlike in similar systems, the parameterisation of the primitives can be changed in the process of reconstruction to adapt them to irregular building shapes, which is made possible by a specific method of representation of the primitives in parameter estimation. A test project using images of different scales and overlap for the reconstruction of a densely built-up area was carried out. Depending on the image scales, the buildings were reconstructed at the best possible levels of detail. The time required for reconstruction and the success rates of automatic fine measurement were assessed. For distinct buildings, the accuracy of automatic fine measurement was determined, showing that if the automated module is successful, it gives very accurate results. The project showed the benefits of primitive adaptations for the reconstruction of irregular buildings if a high level of detail is to be achieved, whereas at lower levels of detail, the homogenisation by using regular building primitives comes to the fore. Up to 87% of the most salient building parts could be determined by automatic fine measurement, the success rate improving with the number of overlapping images. The time required for building reconstruction was found to be influenced heavily by the interpretability of the images.

http://aleph.ub.tuwien.ac.at/F?base=tuw01&func=find-c&ccl_term=AC04404298

http://publik.tuwien.ac.at/files/PubDat_119531.pdf