Abstract
Geometric object data extracted from aerial images is of great value in numerous applications, e.g., as complementary source for updating cadastral maps or as a first basis for planning of infrastructure. However, the photogrammetric exploitation of aerial images requires the accurate reconstruction of the imaging geometry which enables to transform arbitrary ground coordinates into image coordinates and vice versa (provided that the height is known or can be determined from an elevation model). Reconstructing the imaging geometry especially includes the determination of the orientation of the camera which is usually carried out by spatial resection: Given a sufficient number of landmarks (control points) with their positions on the ground and in the image, it is possible to solve the resulting system of non-linear equations for the unknown parameters of the underlying perspective projection. The reliability and accuracy of this registration task strongly depend on the selection of suitable landmarks as well as on the precision of landmark localization.
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Rohr, K., Drewniok, C. (2003). Model-Based Landmark Extraction and Correspondence Finding for Aerial Image Registration. In: Shah, M., Kumar, R. (eds) Video Registration. The International Series in Video Computing, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0459-7_5
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DOI: https://doi.org/10.1007/978-1-4615-0459-7_5
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