Interpolation in Large Data Cubes
Our objective is to design a numerically efficient algorithm for interpolation of nominal data in large data cubes. More specifically, the problem is to determine a complete data cube from raster images corresponding to parallel layers of the data cube such that the complete data cube interpolates all given layers. The given raster images display discrete geoobjects, i.e. nominal data which may be the result of some classification of initial data. We suggest nominal interpolation by virtue of interpolation of the corresponding multivariate membership function with radial basis functions to recover 3d geoobjects the sections of which interpolate the series of raster images.
H. Schaeben R. Hielscher A. Müller
Geoscience Mathematics and Informatics, Freiberg University of Mining and Technology, BvCotta Str. 2, D-09596 Freiberg, Germany
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
29-31
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）