ISPRS Commission III, Vol.34, Part 3A „Photogrammetric Computer Vision“, Graz, 2002 
  
geometric or radiometric properties, but by the mathematical 
transformation that describes the geometrical relationship 
between two images. In other words, this approach does not 
require feature matching. Instead, a search is conducted in 
the space of admissible transformation. Geometrically 
invariant features are adopted to decompose the 
computational complexity of the transformation. This 
approach solves simultaneously for the registration 
parameters and the matched features. 
This approach is highly robust as compared to the traditional 
M-estimators (Rosseeuw and Leroy, 1987), which tolerates 
only up to 5096 of outliers. Combining the developed 
approach with the least squares estimator facilitate the 
achievement of subpixel accuracy in the final registration 
parameters. Research effort is underway to characterize 
performance metrics and pathological cases, in order to 
extend this approach in its methodology and applications. 
  
1987-1991 
Figure 5: Shows the results of 
resampling using the registration 
parameters. 
6. ACKNOWLEDGEMENTS 
We would like to express our great appreciation to the 
Pacific Northwest National Laboratory for the full financial 
support under project No. 43429. 
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on Adjustment