The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008 
This stereo model provides a new way to process multi-sensor 
satellite remote sensing images and can be used in key object 
position in remote sensing reconnaissance and stereoplotting in 
special areas. Since residual error of the homologous image 
point promulgates to the ground point coordinate, high accurate 
auto registration algorithm is a key point in our future work. 
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Fang Yong, Chang Benyi, Hu Haiyan and Chen Hong, 2006. 
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He Yu, 2005. SAR digital block triangulation, Master Thesis, 
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Jordi Inglada and Alain Giros, 2004. On the possibility of 
automatic multisensor image registration, IEEE Transactions 
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Photogrammetry, PLA Press, pp. 152-155. 
Raggam Johannes and Aimer Alexander, 1990. Mathematical 
aspects of multi-sensor stereo mapping, Proceedings of 
IGARSS’90, Washington D.C., 3. 
Renouard L. and F. Perlant, 1993. Geocoding SPOT Products 
with ERS-1 Geometry. Proceedings of the Second ERS-1, 
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Wang Donghong, Liu Jun and Zhang Li, 2005. Precise 
rectification of space-borne SAR images based on improved f. 
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Xiao Guochao and Zhu Cai-ying, 2001. Radargrammetry, 
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Satellite 
Acquired Time 
Incidence Angle (°) 
Ground Spatial Resolution (m) 
Projection 
SPOT5 
2002.2.10 
2.76 
5 
Linear central projection 
SPOT4 
2005.4.27 
15 
10 
Linear central projection 
ERS-2 
1998.9.2 
22.9 
along-track 12.5 
across-track 12.5 
Ground range projection 
Radarsat-1 
2002.11.6 
44.3 
along-track 8.82 
across-track 5.56 
Slant range projection 
Table 2. Statistics of attributes of four space-borne images 
Stereo Models 
RMS X (m) 
RMS Y (m) 
RMS Z (m) 
Min 
Max 
Mean 
Min 
Max 
Mean 
Min 
Max 
Mean 
Radarsatl-ERS2 
3.93 
46.00 
20.56 
0.32 
72.45 
26.45 
0.10 
46.61 
15.96 
Radarsat 1-SPOT4 
1.48 
24.56 
12.59 
0.07 
46.54 
15.21 
0.62 
37.78 
20.91 
SPOT4-ERS2 
1.56 
26.74 
10.83 
0.90 
40.12 
15.26 
0.62 
53.86 
21.41 
SPOT5-ERS2 
0.11 
25.22 
10.85 
0.64 
31.00 
12.55 
0.02 
50.67 
21.00 
SPOT5-Radarsatl 
0.08 
25.67 
10.67 
0.76 
29.49 
12.37 
0.85 
40.88 
21.26 
SPOT5-SPOT4 
1.23 
23.90 
10.73 
1.29 
35.74 
13.02 
0.03 
64.34 
28.24 
Table 3. Statistics of RMS of composite stereo positioning 
Stereo Models 
Overlap (%) 
Intersection Angle (o) 
Length of Baseline (m) 
Flying Height (m) 
Base-height Ratio (m) 
Radarsat 1-ERS2 
100 
68.59 
1095151.67 
769033 
1.44 
Radarsat 1-SPOT4 
50 
61.09 
990691.93 
793616 
1.30 
SPOT4-ERS2 
85 
8.68 
131293.81 
803668 
0.16 
SPOT5-ERS2 
100 
27.84 
410291.37 
781386 
0.52 
SPOT5-Radarsatl 
90 
40.75 
690107.92 
771334 
0.90 
SPOT5-SPOT4 
60 
20.61 
305751.73 
805969 
0.37 
Table 4. Statistics of attributes of stereoscopic pairs 
996