Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 123-130, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/123/2016/
doi:10.5194/isprs-archives-XLI-B3-123-2016
 
09 Jun 2016
EXTERIOR ORIENTATION ESTIMATION OF OBLIQUE AERIAL IMAGERY USING VANISHING POINTS
Styliani Verykokou and Charalabos Ioannidis Laboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens, Greece
Keywords: Oblique Aerial Images, Vanishing Point, Nadir Point, True Horizon Line, Exterior Orientation, Georeferencing Abstract. In this paper, a methodology for the calculation of rough exterior orientation (EO) parameters of multiple large-scale overlapping oblique aerial images, in the case that GPS/INS information is not available (e.g., for old datasets), is presented. It consists of five main steps; (a) the determination of the overlapping image pairs and the single image in which four ground control points have to be measured; (b) the computation of the transformation parameters from every image to the coordinate reference system; (c) the rough estimation of the camera interior orientation parameters; (d) the estimation of the true horizon line and the nadir point of each image; (e) the calculation of the rough EO parameters of each image. A developed software suite implementing the proposed methodology is tested using a set of UAV multi-perspective oblique aerial images. Several tests are performed for the assessment of the errors and show that the estimated EO parameters can be used either as initial approximations for a bundle adjustment procedure or as rough georeferencing information for several applications, like 3D modelling, even by non-photogrammetrists, because of the minimal user intervention needed. Finally, comparisons with a commercial software are made, in terms of automation and correctness of the computed EO parameters.
Conference paper (PDF, 2884 KB)


Citation: Verykokou, S. and Ioannidis, C.: EXTERIOR ORIENTATION ESTIMATION OF OBLIQUE AERIAL IMAGERY USING VANISHING POINTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 123-130, doi:10.5194/isprs-archives-XLI-B3-123-2016, 2016.

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