Full text: XVIIIth Congress (Part B4)

mina- 
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to 101 
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image 
points 
exte- 
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1996). 
IDA's 
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errors 
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0 50 100 150 290 
  
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theta 
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Figure 8: Position of errors > 600 m in the DTM of IDA 
where reference points are not available. In these regions it 
is obvious that the given reference points cannot represent 
the surface adequately. 
5 CONCLUSIONS AND OUTLOOK 
In this paper we have presented an efficient hierarchical 
method for global DTM modelling, which makes use of a 
sphere as reference surface. It is based on the principle 
of series expansions and employs locally supported basis 
functions. The crucial point is the explicit computation 
of the error on each level which allows the adaption of a 
regular grid to a given arbitrary set of reference points. 
Digital terrain models of Australia and part of the asteroid 
243 IDA, demonstrate the power and flexibility of the new 
approach. 
Further extensions concern the usage of reference points 
with different accuracy, e.g. including control points mea- 
sured by an operateur. Each reference point can be 
equipped with an additional weight in the summation (3). 
In connection with the applications in Geodesy, Geology 
and Photometry, the calculation of the normal vector to 
the surface as well as the modelling of local features (e.g. 
craters) are very interesting (Duxbury, 1991). 
6 ACKNOWLEDGEMENTS 
In performing this study we received valuable support by 
Jürgen Oberst and Bernd Giese at the Institute of Plane- 
tary Exploration of the DLR, which is gratefully acknowl 
edged. The authors thank Wolfgang Zeitler, Institute of 
Planetary Exploration of the DLR, for doing the image 
matching. 
7 REFERENCES 
Brand R., 1994. Approximation Using Spherical Singu- 
lar Integrals and Its Approximation to Digital Terrain 
Modelling. University Kaiserslautern, Geomathematics 
Group, Diploma Thesis (unpublished) 
Brand R., Freeden W., Frohlich J., 1995. An Adaptive 
Hierarchical Approximation Method on the Sphere Us- 
ing Axisymmetric Locally Supported Basis Functions. 
Technical Report SC 95-2, Konrad-Zuse-Zentrum fir In- 
153 
formationstechnik Berlin 1995, accepted for Computing 
Burrough P. A., 1986. Principles of Geographical Infor- 
mation Systems for Land Resources Assessment, Mono- 
graphs on soil and resources survey No. 12, Butler & 
Tanner Ltd., Frome and London. 
Cui J., Freeden W., Witte B., 1992. Gleichmafige Ap- 
proximation mittels Sphárischer Finite Elemente und 
ihre Anwendung in der Geodasie. Zeitschrift für Ver- 
messungswesen (ZfV), 5, pp. 266-278. 
Duxbury T., 1991. An Analytic Model for the Phobos 
Surface. Planet. Space Sci., Vol. 39 (1/2), pp. 355-376. 
Ebner H., Hóssler R., Reinhardt W., 1988. Generation, 
management and utilization of high fidelity Digital Ter- 
rain Models. International Archives of Photogrammetry 
and Remote Sensing, 27, Part B11, III/556-111/566. 
Freeden W., Schreiner M., 1993. Nonorthogonal Expan- 
sions on the Sphere. Berichte der AG Technomathe- 
matik, Bd. 97, Universitat Kaiserslautern, appeared in 
Math. Meth. Appl. Sci., Vol. 18, 1995, pp. 83-120. 
Gold C. M., 1989. Surface interpolation, spatial adjacency 
and GIS. In: J. Raper, ed.; Three dimensional applica- 
tions in Geographical Information Systems, Taylor & 
Francis, London, New York, Philadelphia, pp. 21-35. 
Gross M. H., 1995. 3D Modeling and Approximation for 
Visualization and Simulation. In: K. Torlegärd, E. 
Gülch, eds.; Joint Workshop of ISPRS WG III/2 and 
IC WG II/III, The Role of Models in Automated Scene 
Analysis, Photogrammetric Reports No. 63 of the Royal 
Institute of Technology, Stockholm, Sweden. 
Li D., Shao J., 1994. The wavelet and its application in 
image edge detection. ISPRS Journal of Photogramme- 
try and Remote Sensing, 49(3), pp. 4-11. 
Ohlhof T., Dorn M., Brand R., Zeitler W., 1996. Pho- 
togrammetric Processing of Digital Galileo SSI Images 
from Asteroid IDA. Int. Arch. of Photogrammetry and 
Remote Sensing, 31(4), 6 p. 
Thomas P.C., Belton M.J.S., Carcich B., Chapman C.R., 
Davies M.E., Sullivan R., Veverka J., 1995. The shape 
of IDA, submitted to Icarus. 
Warnken R., 1995. Source for ETOPOS : National Geo- 
physical Data Center, e-mail: rrw@ngdc.noaa.gov. 
Zhou X., Dorrer E., 1994. Automatic image matching 
algorithm based on wavelet decomposition. Interna- 
tional Archives of Photogrammetry and Remote Sens- 
ing, 30(3/2), pp. 951-960. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996 
 
	        
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