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Abstract

Summary

Potential field methods produce anomaly maps with different magnitudes and depths that are typically contaminated by noise, making them hard to interpret. In order to highlight edges of the anomalies with different depths and magnitudes, data filtering techniques have received a great attention, in particular for mineral explorations. Filtering approaches render to explore more details from potential field data maps. In this respect, high pass filters are commonly used for enhancing the anomaly edges all of which utilize gradients of the potential field. In order to apply different filters on the potential field data, major attempts have been made to make a balance between noise and the signal obtained from a filtered image ( ).

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/content/papers/10.3997/2214-4609.201802747
2018-09-09
2024-04-16

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Enhancing Potential Field Data Using TDY Filter
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201802747
/content/papers/10.3997/2214-4609.201802747
/content/papers/10.3997/2214-4609.201802747
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