4.7 Article

Evaluation Method for Airborne Full Magnetic Gradient Tensor Data Measured Over a Survey Area

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2023.3260267

Keywords

Magnetic field measurement; Tensors; Soft magnetic materials; Measurement uncertainty; Magnetic recording; Area measurement; Interference; Full magnetic gradient tensor; harmonicity property; quality evaluation; tensor representation

Ask authors/readers for more resources

Airborne surveys of the full magnetic gradient tensor are useful in various studies, but the quality of the measurements can be affected by gradiometer limitations, platform interference, and flight environment complexity. We propose an evaluation method for AFMGT data without the need for independent referencing data, utilizing the harmonicity property for all tensor components. Our method represents the high-order and spatially correlated measurements using tensors, validated through simulations and field experiments. This work serves as a foundation for instrument manufacturing and quality control.
Airborne surveys of the full magnetic gradient tensor have been established as a powerful method in environmental, engineering, exploration, and lithospheric studies. However, the accuracy limitation of the gradiometer, the inevitable interference from the carrying platform, and the complexity of the flight environment could degrade the quality of the airborne full magnetic gradient tensor (AFMGT) measurements. High-quality measurements are essential to obtain reliable data for subsequent analysis and robust interpretations, but there is currently no method for evaluating accuracy of the AFMGT measurements. Therefore, we propose an evaluation method for AFMGT data measured over a survey area, constrained by the harmonicity property for all tensor components, without the necessity for independent referencing data. Considering that one of the features of the AFMGT measurements is high order and spatial correlation, we represent them by tensors that are data structures in multilinear algebra. The accuracy and utility of our method have been tested and verified by simulations and field experiments. Our work can serve as a groundwork for instrument manufacturing and quality control.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available