t B3. Istanbul 2004 
in pixel 
in meter 
ation (1) can be 
quation. 
Applying 
second and higher 
servation equation 
posed in 
this paper 
| images with 10 m 
province of China, 
graphic database of 
de of 1:50000. The 
of 25m-grid space. 
the final 
solution is 
that the iteration 
the adjustment the 
d with the weight 
> weights of the 
ecome smaller and 
(fore, the result of 
iders. Based on the 
PAN 
Images are 
he scale of 1:50000 
racy of the exterior 
0 check 
points for 
their corresponding 
ree test area are all 
evation interval of 
The conclusion can 
| can satisfy the 
yf 1:50000 based on 
nstitute of Sichuan 
  
Max 
X-err 
Max 
Y-err 
  
-1.929 
3.471 
  
3.124 
-3.036 
  
  
2.608 
-2.651 
  
  
Orientation with 
) 
MSE 
Om 
Om 
  
   
   
   
Max Error 
   
2 times of 
RMSE 
2 times of 
RMSE 
   
Revision with Scale 
  
SPOT PAN Image superposed by Map with 
Figure 5: 
Georeference based on the exterior orientation 
parameter 
5. CONCLUSION 
This paper introduces a fully automatic approach for the 
exterior orientation of remote sensing imagery with high 
resolution by matching extracted river feature points from the 
image against the corresponding objects of an existing vector 
river map or a GIS database. The implemented approach is 
based on automatic curvilinear features extraction from remote 
sensing imagery and generalized point photogrammetry. The 
result shows that the exterior orientation can satisfy the 
requirement of map revision with the scale of 1:50000. The 
presented procedure does not need much manual interaction and 
therefore has the potential to be integrated into an automatic 
workflow. Proposed approach creates the possibilities for 
automatic exterior orientation in special data updating and the 
registration of multi-resolution remote sensing images. 
ACKNOWLEDGEMENTS 
Thanks for the supporting from Natural Science Fund of P. R. 
China (No. 40337055). 
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