Global image matching and surface reconstruction in object space using aerial images

Heinrich Ebner; Christian Heipke; Mikael Holm

doi:10.1117/12.155814

24 September 1993 Global image matching and surface reconstruction in object space using aerial images

Heinrich Ebner, Christian Heipke, Mikael Holm

Proceedings Volume 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision; (1993) https://doi.org/10.1117/12.155814
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

A general model for digital photogrammetry has been developed, integrating area-based multi- image matching, point determination, object surface reconstruction and orthoimage generation. Using this model the unknown quantities are estimated directly from the pixel intensity values and from control information in a nonlinear least squares adjustment. The unknown quantities are the geometric and radiometric parameters for the description of the object surface (e.g. the heights of a digital terrain model and the intensity values of all points on the surface), and the orientation parameters of the images. Any desired number of images, scanned in various spectral bands, can be processed simultaneously. The convergence radius or pull-in range, known to be rather poor (a few pixels only) in least squares matching, is considerably extended, and the computation time is considerably reduced by using a hierarchical procedure with image pyramids. Some tests using this approach on real aerial imagery were made. They constitute the first controlled tests of the approach and prove its applicability for practical needs.

Citation Download Citation

Heinrich Ebner, Christian Heipke, and Mikael Holm "Global image matching and surface reconstruction in object space using aerial images", Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); https://doi.org/10.1117/12.155814

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