Characterization DEM Error by Distribution mixtures
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Abstract
The positional accuracy of Digital Elevation Models (DEM) is usually assessed by analyzing the vertical error observed in point samples. The traditional statistical techniques suppose that altimetry errors verify normal distributions, but, in practice, this is not true in many cases. In this work, the use of techniques based on the determinacy of Gaussian finite mixture models is presented in a novel way in the field of DEM, to better approximate the observed error distribution. A methodology to apply the process is proposed ad it is applied to real data from DEM of 2x2 m spatial resolution (reference) and 5x5 m (product).
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