Farhad Samadzadegan 
  
Altogether we do not want to overrate the results of this first test with our new fuzzy reasoning approach for DTM 
reconstruction. But with this experiments we could show that the developed method has the capability to acquire DT; 
even in difficult terrain. 
6 CONCLUSIONS 
The goal of the presented work was to develop a new approach for DTM reconstruction based on fuzzy reasoning, 
Fuzzy logic offers the theoretical framework on which processes of fuzzy nature can be build. Fuzzy inferens 
processes allow to utilise a variety of constraints by formulating proper fuzzy rules. Corresponding algorithms for point 
feature extraction and for matching have been developed and presented. These algorithms are embedded into an overall 
process for DTM reconstruction 
First experiments are carried out which show the applicability of the developed and implemented procedure. This first 
success encourages to extend the fuzzy framework by including the object based reconstruction modules in fuzzy 
inference processes. Some ideas about refining DTM generation by relating image feature extraction and surface 
modelling are outlined in the paper. A detailed elaboration of the corresponding fuzzy rules are left for future work. 
7 REFERENCES 
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Ebner H., B. Hofmann-Wellenhof, P. ReiB, and F. Steidler, 1980. HIFI - A minicomputer program package for height 
interpolation by finite elements, International Archive for Photogrammetry and Remote Sensing, Congress Hamburg, 
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Forstner, W., Giilch, E., 1987. A Fast Operator for Detection and Precise Location of Distinct Points, Corners and 
center of Circular Features, Proceeding of ISPRS Intercommission Conference on Fast Processing of Photogrammetric 
Data, Interlaken. 
Hahn, M., 1989. Automatic Measurement of Digital Terrain Models by Means of Image Matching Techniques. 
Proceedings of the 42" Phoogrammetric Week at Stuttgart University, p.141 — 151. 
Huber, J.P., 1981. Robust Statistics, John Wiley & Sons. 
Terzopoulos, D., 1986. Regularization of Inverse Visual Problems Involving Discontinuities, IEEE, Transaction on 
Pattern Analysis and Machine Inteligence, Vol 4, p. 413-424. 
Zadeh, L. A., 1965. Fuzzy Sets, Information and Control, Vol. 8, p. 338-353. 
Zimmermann, H. —J., 1993. Fuzzy Set Theory, and Its Applications., Kluwer Academic Publishers. 
  
806 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 
  
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