Geometric conditions of space imagery for mapping
Proceedings of 2nd International Conference on Recent Advances in Space Technologies, 2005. RAST 2005.
From the test field Zonguldak different high and very high resolution optical satellite images are available like TK350, ASTER, KOMPSAT-1, IRS-1C, SPOT 5, KVR1000, IKONOS and QuickBird. The images partially have been achieved as close to original images (level 1A) and partially projected to a plane with constant object height (level 1B). For some images, based on direct sensor information, a good image orientation is given which for some only has to be improved by a shift in X and Y, while for
... X and Y, while for others only rough orientations are distributed. In addition sometimes the orientation has to be improved by additional parameters to compensate systematic geometric effects. Some orientation information of IKONOS-and QuickBird-images is available also as rational polynomial coefficients (RPCs), describing the relation between the image and the object coordinates by a ration of polynomials. The different orientation procedures are described with their advantages and disadvantages. In most cases sub-pixel accuracy was possible. The orientation of some images could be made with different procedures leading to similar results for a sufficient number of well distributed control points. But with a smaller number and also not well distributed control points quite different results have been achieved leading to the clear result that a correct mathematical model, using the available information of the image orientation should be used. This can be done with a geometric reconstruction of the image geometry or sensor oriented rational polynomial coefficients (RPCs) while for the 3D-affinity transformation more and well distributed control points are required. The DLT-method and the terrain dependent RPCs should not be used.