Airborne laser scanning is widely used for the derivation
of terrain information in wooded or open areas but also for the production of building
models in cities. For this, the generation of a digital terrain model (DTM) is also
required. In this paper the filtering and classification of laser scanner data with
iterative robust linear prediction in a hierarchical fashion using data pyramids
is described. The coarse-to-fine approach is advantageous because it strengthens
the robustness of the method and makes it faster. The results for test data sets
of the OEEPE are presented.
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