Abstract
In this paper we describe the use of a novel representation, LR B-spline surfaces, and apply this representation in the treatment of geographical data. These data sets are typically very large and LR B-spline surfaces offer a compact representation of overall smooth data with local details. We briefly describe the properties of the LR B-spline representation, and discuss the details of two approximation methods adapted for LR B-splines: least squares approximation and multilevel B-spline approximation (MBA). The described techniques are demonstrated on several examples of terrain data in the form of point clouds.
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