Vertical fault detection from scattered data
type: Item
instance of: scholarly article
title: Vertical fault detection from scattered data
zbMATH Open document ID: 0874.65009
DOI: 10.1016/0377-0427(96)00045-3
author: M. C. Parra
author: María Cruz López de Silanes
author: Juan José Torrens
published in: Journal of Computational and Applied Mathematics
publication date: 1996-11-19T00:00:00Z
review text: This paper contains the problem of detecting vertical faults in explicit surfaces from sets of data points. In geology or geophysics, the reconstruction of a faulted surface from a set of scattered data points is a common problem. In this paper, the focus is on a method to detect vertical faults, modelled as jump discontinuities of the function \(f\) on the set \(F\). First, the authors establish a characterization of jump discontinuities for bivariate functions. Next, the authors derive a detection method of vertical faults in surfaces which takes as input a set of scattered data points. Finally, some numerical and graphical examples are given.
reviewed by: R. S. Dahiya
Mathematics Subject Classification ID: 65D17
zbMATH DE Number: 947633
zbMATH Keywords: vertical fault detection
zbMATH Keywords: surface reconstruction
zbMATH Keywords: scattered data
zbMATH Keywords: numerical and graphical examples
MaRDI profile type: Publication
full work available at URL: 0377-0427(96)00045-3
OpenAlex ID: W1983474313
cites work: Q3831411
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description: scientific article; zbMATH DE number 947633