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Research on aeromagnetic data error analysis and processing of multi-rotor UAV based on variational mode

Zhong-Kun Qiao1,2, Peng Yuan1, Ruo Hu3

  • 1Zhejiang Provincial Key Laboratory of Quantum Precision Measurement, College of Science, Zhejiang University of Technology, Hangzhou 310023, China.

Heliyon
|December 2, 2022
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Unmanned aerial vehicle (UAV) aeromagnetic survey data can be improved using Variational Modal Decomposition (VMD) to remove noise. This method enhances data quality for mineral exploration and geological surveys.

Keywords:
Aeromagnetic survey of UAVData processingError analysisVMD

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Area of Science:

  • Geophysics
  • Earth Science
  • Geological Surveying

Background:

  • Multi-rotor Unmanned Aerial Vehicle (UAV) aeromagnetic surveys are crucial for mineral exploration, engineering investigations, and non-explosive detection.
  • Aeromagnetic data collected by UAVs often contain striping anomalies due to environmental, platform, and equipment interference.
  • These anomalies degrade the accuracy of aeromagnetic compensation and geological anomaly detection, impacting interpretation.

Purpose of the Study:

  • To introduce and apply the Variational Modal Decomposition (VMD) algorithm for filtering and preprocessing UAV aeromagnetic survey data.
  • To improve the quality of aeromagnetic data, thereby enhancing the accuracy of geological interpretations.
  • To predict the source and characteristics of errors using modal function analysis for aeromagnetic system optimization.

Main Methods:

  • Application of the Variational Modal Decomposition (VMD) algorithm to aeromagnetic survey data.
  • Filtering and preprocessing of raw UAV aeromagnetic data to remove interference.
  • Analysis of interference size and spectrum characteristics of modal function errors to predict error sources.

Main Results:

  • Successful filtering and preprocessing of UAV aeromagnetic data using VMD, yielding high-quality aeromagnetic data.
  • Identification and characterization of interference sources affecting aeromagnetic survey accuracy.
  • Demonstration of VMD's effectiveness in mitigating striping anomalies in aeromagnetic maps.

Conclusions:

  • Variational Modal Decomposition (VMD) is an effective method for enhancing the quality of UAV aeromagnetic survey data.
  • The approach provides a reliable reference for optimizing aeromagnetic systems by predicting error sources.
  • Improved data quality facilitates more accurate geological anomaly detection and interpretation in various applications.