Abstract
This paper considers the application of capturing urban terrain by an airborne pushbroom camera (e.g. High Resolution Stereo Camera). The resulting images as well as disparity ranges are expected to be huge. A slightly non-linear flight path and small orientation changes are anticipated, which results in curved epipolar lines. These images cannot be geometrically corrected for matching purposes such that epipolar lines are exactly straight and parallel to each other. The proposed novel processing solution explicitely calculates epipolar lines for reducing the disparity search range to a minimum. This is a necessary prerequisite for using an accurate, but memory intensive semi global stereo matching method that is based on pixelwise matching. It is shown that the proposed approach performs accurate matching of urban terrain and is efficient on huge images.
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© 2005 Springer-Verlag Berlin Heidelberg
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Hirschmüller, H., Scholten, F., Hirzinger, G. (2005). Stereo Vision Based Reconstruction of Huge Urban Areas from an Airborne Pushbroom Camera (HRSC). In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds) Pattern Recognition. DAGM 2005. Lecture Notes in Computer Science, vol 3663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550518_8
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DOI: https://doi.org/10.1007/11550518_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28703-2
Online ISBN: 978-3-540-31942-9
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