I 
I 
663 
In: Wagner W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
demonstrates the detail of the accuracy assessment. From and resulted in 3.30 meters, -1.78 meters, and -3.60 meters 
this table, we can find that only one of twenty five points deviation in x, y, and z dimension, 
has deviation from the manually measured correspondences 
Table 2. Accuracy evaluation of DSM 
No 
Tie points Extracted by algorithm 
Tie points extracted manually 
Deviation 
Column 
Row 
Column 
Row 
Column 
Row 
Column 
Row 
Ax(m) 
Ay(m) 
Az(m) 
1 
2594 
551 
2654 
546 
2594 
551 
2654 
546 
0 
0 
0 
2 
4664 
480 
4701 
571 
4664 
480 
4701 
571 
0 
0 
0 
3 
7904 
690 
7940 
791 
7904 
690 
7940 
791 
0 
0 
0 
4 
1381 
1938 
1450 
1903 
1381 
1938 
1447 
1903 
0 
0 
0 
5 
4478 
1565 
4518 
1648 
4478 
1565 
4518 
1648 
0 
0 
0 
6 
6842 
1549 
6880 
1645 
6842 
1549 
6880 
1645 
0 
0 
0 
7 
1245 
2376 
1309 
2347 
1245 
2376 
1309 
2347 
0 
0 
0 
8 
3064 
2927 
3109 
2988 
3064 
2927 
3109 
2988 
0 
0 
0 
9 
6196 
2412 
6237 
2488 
6196 
2412 
6237 
2488 
0 
0 
0 
10 
177 
3521 
246 
3479 
177 
3521 
246 
3479 
0 
0 
0 
11 
3083 
3310 
3127 
3371 
3083 
3310 
3127 
3371 
0 
0 
0 
12 
5837 
3903 
5881 
3964 
5837 
3903 
5881 
3964 
0 
0 
0 
13 
929 
4879 
995 
4839 
929 
4879 
995 
4839 
0 
0 
0 
14 
2532 
4965 
2597 
4941 
2532 
4965 
2597 
4941 
0 
0 
0 
15 
5321 
4839 
5369 
4885 
5321 
4839 
5369 
4885 
0 
0 
0 
16 
7850 
4150 
7891 
4232 
7850 
4150 
7891 
4232 
0 
0 
0 
17 
2153 
5575 
2225 
5515 
2153 
5575 
2225 
5515 
0 
0 
0 
18 
4826 
5352 
4877 
5380 
4826 
5352 
4877 
5380 
0 
0 
0 
19 
7815 
5005 
7859 
5062 
7815 
5005 
7859 
5062 
0 
0 
0 
20 
5114 
298 
5151 
393 
5114 
298 
5150 
395 
0 
0 
0 
21 
2982 
1621 
3036 
1640 
2982 
1621 
3036 
1640 
3.30 
-1.78 
-3.6 
22 
6944 
1740 
6990 
1838 
6944 
1740 
6982 
1833 
0 
0 
0 
23 
5070 
2186 
5111 
2265 
5070 
2186 
5111 
2265 
0 
0 
0 
24 
2246 
3935 
2296 
3974 
2246 
3935 
2296 
3974 
0 
0 
0 
25 
4368 
4772 
4426 
4776 
4368 
4772 
4426 
4776 
0 
0 
0 
4. CONCLUSIONS 
Based on the experiment and accuracy evaluation, we draw 
following conclusions. 
Without the help of eppipolar condition, the proposed 
algorithm can process homogeneous area with the assistant 
of control netwok and. 
With the help of control network and the pyramid structure, 
the proposed algorithm can process the large relief 
variation of the satellite images. 
The proposed algorithm can successfully generate DSM 
from the complicated area which includes both urban area 
and high mountain area. And the accuracy of the DSM is 
encouraging. 
Therefore, we believe this technology has the potential to 
be used for 3D reconstruction in case of no camera 
geometry can be used to constrain the image matching to 
deal with the ambiguity in the homogeneous area. 
This is an initial attempt of this technology. We plan to 
conduct extensive test to this algorithm in the near future. 
ACKNOWLEDGMENTS 
This research is sponsored by the Natural Sciences and 
Engineering Research Council of Canada through the 
Discovery Grant (NSERC Discovery Grant) awarded to Dr. 
Yun Zhang, the second author of the paper. We would like 
to acknowledge that Professor Clive Fraser, Department of 
Geomatics Engineering, University of Melbourne, Australia, 
provided us with satellite images and ground control points 
for the tests. 
REFERENCES: 
Omitted.