|START||NEW VOL 20||SEARCH||STATISTICS||PAS - GDANSK DIVISION|
pp. 47-52, vol. 18, 2015
Gdańsk University of Technology, Gdańsk, Poland
Key words: bathymetry; spline interpolation; 3D spatial data representation
Abstract: Contemporary records from multibeam sonars or even elevations from 3D shuttle radar topography missions feature high resolution. On the other hand, bathymetric models of a different resolution from different sensors are available as well, beginning from very high resolution MBS records and low resolution records coming from regular scattered measurements. Approximating and eventually visualizing the high volume scattered 3D raster data of different resolutions results in some difficulties related to the extent of computer processing power. The paper presents some advantages of using multiresolution splines combined with the Hilbert curve approach in the context. The proposed approach consists of two stages: firstly, data pertaining to different resolutions are interpolated using the spline technique and finally the knots and control points are saved using the Hilbert curve. Such an approach particularly facilitates high volume spatial data for the level of details (LoD)visualization technique.
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