The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
Figure 18 
4. CONCLUSION 
In the presented paper, the original approach to image matching 
under unknown geometrical and photometrical distortions is 
proposed. For robust matching procedure, both contours and 
significant regions are taken into consideration. A set of rules 
for effective selection of most valuable data from contours and 
regions results in stable and distinct set of final features. 
Feature matching is based on dynamic programming technique 
which enables to find the best correspondence of type many-to- 
many. The algorithms proposed have shown effective 
performance on aerial imagery of various content even in case 
of considerable rotation and scaling. Authors plan to extend the 
results of this work for cases with more complicated distortions 
types. 
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