1887

Abstract

Summary

When an aeromagnetic survey is interpreted both the magnetic intensity and the magnetic texture of the map are taken into account. As new automated methods are developed, like self-organizing maps, the textural information from magnetic data needs to be available in a quantitative form. In this study, we propose a calculating a quantitative index of magnetic texture using the linear least-squares regression to fit polynomials of increasing order to magnetic data in a moving window. The textural complexity index is the order of the first polynomial that satisfactorily fits the magnetic data. This method was applied to the aeromagnetic data over the Mine Centre area in northwestern Ontario and the result showed good correlation to the geological units mapped using standard interpretation techniques.

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/content/papers/10.3997/2214-4609.201701084
2017-06-12
2024-03-29
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