Automated exterior orientation of large-scale imagery using map data

Bjarke Moller Pedersen

doi:10.1117/12.281061

5 August 1997 Automated exterior orientation of large-scale imagery using map data

Bjarke Moller Pedersen

Proceedings Volume 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III; (1997) https://doi.org/10.1117/12.281061
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The automation of photogrammetric orientation procedures is a topic of major interest. Several methods to automate also the measurement of ground control points have been suggested, but there is at the moment no general solution to the problem. The approach presented in this paper suggests a coarse-to-fine strategy by means of an object hierarchy extracted from an existing digital map. Large objects may be applied to the coarser levels of an image pyramid, smaller but more well- defined objects to the finer levels. Tests on a single pair of large-scale aerial images are successfully conducted, and seems to indicate that there are no critical parameters.

Citation Download Citation

Bjarke Moller Pedersen "Automated exterior orientation of large-scale imagery using map data", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281061

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