The paper discusses aspects of evaluating the results of digital correlation used in
photogrammetic high precision application. The most common correlation techniques are
compared with respect to their optimization criteria. Results from practical and theoretical
investigations concerning the sensitivity of the methods with respect to deviations of the
mathematical model from reality are given. The aim of the paper is to provide some insight
into the dependency of the main parameters of digital image correlation on the image texture,
e.g. the pixel and the patch size, the quality of approximate values, the influence of unmodeled
geometric distortions or of correlated noise. The results are useful for increasing the adaptility
of the methods.
Key words: Digital correlation, object location, point transfer, quality assessment,
least squares, variance, convergency, pull-in range, geometric distortions, correlated noise,
matched filter, Wiener Filter, phase correlation, robust estimators.