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Abstract

Summary

Near-earth UAV magnetic surveying has recently become a competitive approach to traditional approaches. UAV surveys can safely and cost-effectively be conducted with a dense line spacing while tightly draping the topography, significantly improving the data resolution.

For UAV magnetic surveying, the sensors are often placed in a gradiometer system towed underneath the UAV and far away from any onboard electronics to minimise the magnetic noise. In gradiometry surveys, even the sensor-specifics can result in line-to-line striping. In addition, imperfect draping and orientational deviations from the set survey heading will also result in line-to-line striping.

This study discusses the processing of a multi-sensor UAV-towed magnetic survey. The raw total-field data and the across-, along-, and vertical-track differences (gradients) show significant line-to-line striping. The proposed processing method relies on modelling the along-track differences using an equivalent sources model to remove the noise responses from both sensor-specific noise and noise responses from attitude/attitude deviations. After the processing, the modelled differences show significantly less line-to-line striping. The results suggest that filter and edge detection methods can be used after the proposed processing method to locate the edge of structures that might host mineral pockets.

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/content/papers/10.3997/2214-4609.2023101109
2023-06-05
2026-02-08
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References

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