Submerged objects modeling and storing in a global reference context using multiresolution spline technique

Contemporary sensors i.e. multibeam sonars, 3D shuttle radar topography mission elevation data features high resolution. On the other side bathymetric models of different resolution from different sensors are available as well, starting from very high resolution MBS records as well as low resolution records coming from regular scattered measurement. Approximating and eventually visualizing high volume scattered 3D raster data of different resolution results in some difficulties related to computer processing power. The paper presents some advantages of using multiresolution splines combined with the Hilbert curve approach. The proposed approach consists of two stages: firstly, data of different resolution are interpolated using spline technique and finally the knots and control points are saved using the Hilbert curve. Such an approach especially facilitates high volume spatial data level of details (LoD) visualization technique.