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Andreas Keim 
  
  
  
Figure 5: Derivation of a topographic map 1 : 25,000 by visual image interpretation: 
(1) AeS-1 X-band ortho image, (2) digitized map layout, (3) topographic map in final map design, 
(4) official topographic map for comparison (O Bayerisches Landesvermessungsamt München, Germany) 
6 CONCLUSIONS 
In this paper an operational approach using high-resolution InSAR data for the production of topographic maps was 
presented. These type of maps can be produced for countries where only old maps or maps in a small scale are 
available. Future investigations tend to integrate the derived data into a Cartographic and/or Geographic Information 
System (CIS/GIS) or using the data for updating of existing databases (Keim 1997). The accuracy of the contour lines 
in forested areas could be improved by using a SAR-sensor employing longer wavelength (e.g. P-band) (Hofmann et al. 
1999). The classification results can be improved by assisting the classifier with the information of SAR coherence. To 
summarize, the shown method supplies maps with a high amount of cartographic and topographic information, 
produced on a high level of automation and in a cost-efficient way. 
REFERENCES 
Huber R. and Schmieder A., 1997. Automatic Extraction of Cartographic Features from Airborne Interferometric SAR 
data, Proceeding of EUROPTO Symposium on Aerospace Remote Sensing, London, UK, Great Britain, pp. 188-196. 
Hofmann C., Schwibisch M., Och S., Wimmer C.,Moreira J., 1999. Multipath P-Band Interferometry — First Results, 
Proceeding of the 4” International Airborne Remote Sensing Conference & Exhibition, Ottawa, Canada, pp. II-732-737. 
Keim A., 1997. Untersuchung zur Fortführung von ATKIS^-DLM 25-Daten durch visuelle Interpretation von SAR- 
Bildern, Diploma thesis, Polytechnic University Munich, Germany. 
Meier E., 1999, Validierung der AeS-InSAR-Oberflüchenmodelle, Internal validation letter, Remote Sensing 
Laboratories (RSL) University Zürich-Irchel, Switzerland. 
Rumelhart D., Hinton G., Williams R., 1986. Learning Internal Representations by Error Propagation in Parallel and 
Distributed Processing: Explorations in the Microstructure of Cognition. Vol. I, Foundations MIT Press, Cambridge, 
MA, U.S.A., pp. 318-362. 
Schmieder A. and Huber R., 2000. Automatic Generation of Contour Lines for Topographic Maps by Means of 
Airborne High-Resolution Interferometric Radar Data, Proceeding of the ASPRS Annual Conference Proceedings, 
Washington, DC, U.S.A. 
Schwäbisch M. and Moreira J., 1999. The High Resolution Airborne Interferometric SAR AeS-1, Proceeding of the 
4” International Airborne Remote Sensing Conference and Exhibition, Ottawa, Canada, pp. I-540-547. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part Bl. Amsterdam 2000. 177