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possibility to perform the acquisition, measurement, processing and analysis 
of data during the occurance of the dynamic processes (or phenomena). In 
cases where the dynamic changes are under control of some devices (as in 
feedback systems) the real-time photogrammetric image processing includes the 
determination of control parameters (or signals) based on the algorithms for 
decision making. Typical examples of areas for application of true real-time 
digital techniques are medical diagnostics, production control and robotics. 
In general the digital photogrammetric instrumentation of this type.and the 
associated software based in part on algorithms and techniques of artificial 
intelligence, are the elementary components of machine-vision systems for 
"intelligent" machines, which are the basic systems for automation of 
manufacturing and other processes. 
CONCLUDING REMARKS 
As can be perceived from this  broad-brush review of innovations and 
developments, considerable changes in photogrammetry as a discipline are 
under way. Notwithstanding the considerable difficulties with reorientation 
and reorganization in photogrammetric practice, instrument manufacturing and 
education, due to these changes, it is evident that a foundation for future 
development of the discipline and its expansion into new areas of application 
has been firmly established. 
In conclusion it should be noted that the term photogrammetry does not fit 
well with a number of new concepts and techniques. It seems that in its 
process of evolution the discipline has outgrown its name. In the context of 
new developments and areas of activities the term photogrammetry should be 
understood to represent a general discipline for image metrology and image 
interpretation. : 
REFERENCES 
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Case, J.B., 1982, The Digital Stereo Comparator/Compiler (DSCC). Proceedings 
of ISPRS Commission II Symposium, Ottawa, Canada, International Archives 
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Chevrel, M., et al., 1981, The SPOT Satellite Remote Sensing Mission. 
Photogrammetric Engineering and Remote Sensing, Vol. 47, No. 8, 
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Helava, U.V., 1982, Fundamentals of Stereo Scanning. Proceedings of ISPRS 
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Horn, B.K.P., 1983, Non-Correlation. Methods. for. Stereo . Matching. 
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Jaksic, 2Z., 1980, Evaluation of Functional and Structural. Characteristics of 
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