期刊
SIMULATION MODELLING PRACTICE AND THEORY
卷 17, 期 6, 页码 1059-1070出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.simpat.2009.03.007
关键词
Scattered data; Surface discontinuities; Adaptive detection; Approximation methods; Radial basis functions
We consider a method for the detection and approximation of fault lines of a surface, which is known only on a finite number of scattered data. In particular, we present an adaptive approach to detect surface discontinuities, which allows us to give an (accurate) approximation of the detected faults. First, to locate all the fault points. i.e. the nodes on or close to fault lines, we consider a procedure based on a local interpolation scheme involving a cardinal radial basis formula. Second, we find further sets of points generally closer to the faults than the fault points. Finally, after applying a nearest-neighbour searching procedure and a powerful refinement technique, we outline some different approximation methods. Numerical results highlight the efficiency of our approach. (C) 2009 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据