Fair Polyline Networks for Constrained Smoothing of Digital Terrain Elevation Data
MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS
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We present a framework for smoothing grid-like digital terrain elevation data, which achieves fair shape by means of minimizing an energy functional. The minimization is performed under the side-condition of hard constraints which come from available horizontal and vertical accuracy bounds in the elevation specification. We introduce the framework and demonstrate the suitability of this method for the tasks of accuracy-constrained smoothing, feature-preserving smoothing and filling of data voids.
- Cartography and Aerial Photography