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Automatic contouring of geophysical data using bicubic spline interpolation

Authors: A Holroyd; B K Bhattacharyya;

Automatic contouring of geophysical data using bicubic spline interpolation

Abstract

A method for automatic contouring of two-dimensional geophysical data is presented in this paper. The method is based on piecewise bicubic spline representation of uniformlygridded data points derived from irregularly-spaced observations. The testing of this method has been carried out with a set of data digitized along flight lines at points of intersection with contour lines on a published aeromagnetic map. The map is conspicuous by the presence of steep gradient as well as broad, smoothly-varying regions. A critical examination of the machine-contoured map with respect to the published hand-drawn map establishes the accuracy and reliability of the automatic contouring program. In this paper a short account of bicubic splines is followed by a description of the contouring program, the input data required by the program, and the results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
hybrid