5. CONCLUSIONS 
Multi-Templet-Matching represents an efficient 
method for the automation of photogrammetric 
image measurements. The modelling of objects and 
the automatic determination of break-lines allow a 
high degree of flexibility. The procedure can be used as 
a basis for the automatic derivation of digital terrain 
models. Furthermore, it can be used for the automa- 
tion of image orientation and to a larger extent for 
completely automatic aerotriangulation. The practical 
application of this procedure, however, requires dif- 
ferent components still in development, such as an 
appropriate scanner and an efficient image processor. 
It is therefore interesting to analyze the instrumental 
environment within which this procedure can be im- 
plemented. Many aspects speak for the use of an ana- 
lytical plotter like the DSR15 or the DS2000 as basic ins- 
trument and for an off-line image processing in a spe- 
cial image processor. In principle, an analytical plotter 
possesses the necessary features for image scanning 
and a camera can be integrated without great difficulty. 
However, great care should be taken with the quality 
of the camera and of the optical system, including the 
illumination. From this point of view, the time is at 
hand when all these requirements will be met on a 
universal photogrammetric measurement system. In 
an automatic process, the control and eventual editing 
of the results is also of great importance. For this 
working phase, an analytical plotter offers numerous 
advantages. Things are of course different for a re- 
search institute, for which the use of components of 
electronic data processing might be advantageous. 
From a practical standpoint, the efficiency of a system 
is of fundamental importance and from this point of 
view the classical photogrammetric plotters still have 
great advantages. 
The present paper should be considered as an inter- 
mediate report on a research project which has already 
been running for several years. This research is how- 
ever not yet completed, but the most important basic 
tools and procedures have been worked out. The pro- 
ject has been financed by the Swiss Commission for 
Encouragement of Scientific Research and by the firm 
Leica, to which the authors are most grateful. 
REFERENCES 
[1] M. Kunt: 
"Traitement de l'Information' vol. I : 'Traitement 
numérique des signaux' 
PPUR, Lausanne 1991. 
[2] B. Chardonnens, R.D. Hersch, O. Kólbl : 
"Transputer Based Distributed Cartographic Image 
Processing’ 
Joint Int. Conf. on Vector and Parallel Processing, 
Zürich 1990 (LNCS 457 Springer Verlag). 
[3] ‘Solid State Camera Products 1989’ 
EG+G Retikon, 1989. 
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