Processing digital terrain models by regularized spline with tension: tuning interpolation parameters for different input datasets

作者: Tomas Cebecauer , Marcel Šúri , Jaroslav Hofierka

DOI:

关键词: Spline (mathematics)VisualizationTerrainRangingInverseAlgorithmTriangulated irregular networkGeographyMultivariate interpolationKrigingData mining

摘要: Digital terrain models (DTM) are widely used in geographical information systems (GIS) for different purposes, ranging from simple data analysis and visualization to sophisticated complex modeling. The measured often processed DTM using spatial interpolation. Different methods of interpolation currently available GIS, however, most commonly are: inverse distance weighted average interpolation, based on a triangulated irregular network (TIN), variational geostatistical (kriging). Details about these can be found literature, e.g. [1].

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