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proficiency levels of interpreters, and to the integration of airborne data with
data from other sources. The department runs a 9 months standard course,
and an advanced course, in the use of aerial photography for urban planning,
administration and management. In a special exercise programme, several
interpretation techniques are applied, using a variety of instruments, photo
types and photo scales; these exercises also give examples of the data that can
be collected from aerial photography and the methods, techniques and
materials that should be used.
With respect to the level of proficiency, the interpretation activities can be
split up into several classes (Hofstee 1973).
Class one mainly concerns the detection, recognition and identification
of objects, the counting of objects, measurements of objects, areas, slopes and
heights, the computation of ratios and detection of changes over a period of
time. These activities can be carried out, after brief instruction, by every
interpreter; no specific professional background knowledge is required. The
second class refers to photo-interpretation techniques, which involve a certain
level of knowledge which enables the interpreter to develop, in co-operation
with the instructor, the classifications to be used, and to assist in the pro-
cessing, analysis and presentation of data. He must be able to make the
correct decisions in problems of classification.
The third class is represented by specialistic knowledge in a certain discipline
combined with considerable experience in the field of photo interpretation.
The specialist in this field must be able to organise, supervise and evaluate
photo-interpretation projects, and he must be qualified to train interpreters
of first and second class level for their specific jobs.
Automatic Processing of Imagery
“Classification of MSS data by computer permits aerial analysis on an
unprecedented scale with a minimum expenditure of time. Also, classification
results using automatic data-processing procedures are consistent, comparable,
and replicable" (Todd et al 1973).
Aside from the validity of this statement, a number of questions are not being
satisfactorily answered by current research. A minimum expenditure of time
can be seen only as part of a more complex problem of a minimum of time
and cost to obtain the required results. In an automatic classification pro-