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to be slowed down to the speed of human responses. If the outputs are
generated at high speeds without human intervention the indicated conditions
will result in extensive and costly post-editing. In both cases the
economical gains are diminished. It is evident that even in the less
demanding case of automation of elevation collection some additional image
matching techniques based on criteria other than correlation of image
density functions such as edge detection and symbolic matching that exploit
qualitative aspects of images and consequently are less dependent ‘on gray
level differences, have to be investigated and implemented in order to
achieve a reliable full automation (Horn, 1983, Baker and Binford, 1982).
For full automation, besides the on-line techniques, the off-line techniques
could be considered. For partial automation of processes where the human
operator monitors and aids the image matching devices or where the image
matching device supports the actions of the human operator by performing some
selected tasks on request (e.g. parallax measurements in orientation
procedures) only the on-line techniques are implied.
In more demanding cases of automation of processes where the meaning of
patterns has to be understood and defined in a particular context, the
development of techniques require more research closely related to the
development in the disciplines concerned with image understanding and
artificial intelligence. Evidently the full automation of photogrammetric
processes represents an area whose further development would require the
commitment of considerable resources.
SYSTEMS FOR LAND INFORMATION DATA BASES
In the areas traditionally served by photogrammetry the implementation of
the data base concept in cartographic, cadastral and other land-related
systems has significantly influenced the concepts about the objectives, the
procedures and the configuration of photogrammetric systems for collection of
information. ,
The primary function of these photogrammetric systems is the conversion of
the source information registered on images into a desired, well-structured
form which may be numerical, pictorial or graphical. Formally all the
procedures for the achievement of a particular objective may be looked upon
as a combination of elementary processes represented by a certain conversion
of information. All possible elementary processes or information conversions
are indicated in the following matrix:
P+P P+N P»G
N>P N>N N»G
G>P G>N G-+G
where P stands for the pictorial form. of. information storage or
presentation, N for the numerical ‘or digital form and G for the graphical
form. :
Numerical output is the principal form for geocoded information systems
represented by digital files stored on direct access memory devices. The
graphical and pictorial output forms may be regarded as supporting forms for
information storage and presentation, which may be needed either as final
supplementary documents or as intermediate output forms required in the
process of information conversion (Jaksic, 1981).