Full text: XVIIth ISPRS Congress (Part B4)

  
  
  
  
# control R.M.S.E. 
points X [m] Y [m] Z [m] 
28 18.34 11.53 14.94 
  
  
  
  
  
  
Table 2 : Model accuracy for the Sor Rondane images 
The low overall accuracy is mainly caused by the diffi- 
culty by which reference and control points could be 
identified in the images. The control points on the im- 
ages were taken on the contact surface between rock 
outcrops and ice/snow surfaces, which was done very 
accurately. However, the contact line between rock and 
snow on the topographic maps at scale 1:50,000 is so 
strongly generalised, that geographic coordinates could 
not be identified properly. 
At the moment we are in the possession of a SPOT 
stereocouple of the northwestern part of Corsica. 
These images will be used for further analysis of the 
planimetric accuracy, once enough reliable ground 
control is available. 
4.3. Matching Accuracy 
The matching accuracy is the percentage of correctly 
matched points compared to the total amount of 
matches performed. Matched points are evaluated on 
the basis of the correlation coefficient and the heuristic 
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knowledge (see 4). For the Antarctic scenes, matching 
accuracy did not exceed 60%, both because of the steep 
relief and therefore large shadows and a higher detec- 
tor saturation for the east-looking image. Also, only a 
few matched points were accepted (on the base of the 
aforementioned criteria) on the ice and snow surface. 
In order to improve the matching accuracy over high 
reflectance zones, selective image enhancement tech- 
niques (high pass filters and contrast stretching) on the 
glacierised surface were applied, resulting in a far 
much better performance (accuracy of 70-80%). 
However, on saturated snow patches matching still re- 
mains impossible. 
Fig.5 displays a generalised DEM of the Menipa region 
(rock outcrop in the Ser Rondane surrounded by sev- 
eral glaciers) obtained from stereo-matching from 
SPOT. Heights range from 1100 m (flat glacier surface 
in front) to 2100 m. Preliminary matching tests could 
not distinguish corresponding points on the glacier 
surface, due to the low contrast. However, selective 
enhancement improved results a lot. 
476 
5. CONCLUSIONS 
A method is presented in order to derive surface to- 
pography from stereoscopic SPOT images in polar re- 
gions. Despite the low precision by which reference 
points could be identified in the images, the overall 
accuracy still allows the production of topographic 
maps at scales between 1:100,000 and 1:50,000. More ac- 
curate ground control should allow for higher preci- 
sion and therefore larger scale mapping. Matching ac- 
curacy and computation efficiency were improved by 
adding constraints to the matching algorithm concern- 
ing geometric characteristics and terrain texture and 
implying selective image enhancement techniques. 
Results obtained this far prove that topographic map- 
ping from space is undeniable the solution for an effi- 
cient production of medium to large scale topographic 
maps in remote (polar) areas. 
6. ACKNOWLEDGEMENTS 
This research is part of the “Belgian Scientific 
Research Programme on Remote Sensing by Satellite - 
phase two” (Services of the Prime Minister - Science 
Policy Office). 
7. REFERENCES 
Chevrel, M., M. Courtois and G. Weill, 1981. The SPOT 
Satellite Remote Sensing Mission. 
Photogrammetric Engineering and Remote 
Sensing, 47(8): 1163-1171. 
CNES and SPOT IMAGE, 1988. SPOT’s User 
Handbook, Vol.1: Reference Manual. CNES and 
SPOT IMAGE (Eds.). 
Hottier, P and M. Albattah, 1990. SPOT et la 
Photogrammétrie Amnalitique Solution de 
Quelques Problémes. Bulletin SFPT, 117(1): 10-23. 
Leclerc, A., 1989. Le Systéme CARTOSPOT. CISM 
Journal ACSGC, 43(2): 111-120. 
Li, M., 1991. Hierarchical Multipoint Matching. 
Photogrammetric Engineering and Remote 
Sensing, 57(8): 1039-1047. 
Pattyn, F., 1991. The Geocoding of SPOT Imagery in 
Raster-Based Geographical Information Systems. In: 
Proceedings of the second European Conference on 
Geographical Information Systems  EGIS'91, 
Brussels, Belgium, April 2-5, 1991, pp. 841-46. 
Rosenholm, D., 1985. Digital Matching of Simulated 
SPOT Images. Fotogrammetriska Meddelanden, 
2(50): 1-76. 
Salamonowicz, PH., 1986. Satellite Orientation and 
Position for Geometric Correction of Scanner 
Imagery  Photogrammetric Engineering and 
Remote Sensing, 52(4): 491-499. 
Ungar, S.G., C.J. Merry, R. Irish, H.L. McKim and M.S. 
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Looking Satellite Systems - A Case Study with SPOT 
Simulation Data. Remote Sensing of Environment, 
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Westin, T., 1990. Precision Rectification of SPOT 
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Wong, R.Y. and E.L. Hall, 1978. Sequential Hierarchical 
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C27(4): 359-366.
	        
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