doctoral candidate
Geophysical Center of the Russian Academy of Sciences
Fedorov Institute of Applied Geophysics
Moscow, Moscow, Russian Federation
Fedorov Institute of Applied Geophysics
Russian Federation
Russian Federation
This paper portrays the method of UAV magnetometry survey data interpolation. The method accommodates the fact that this kind of data has a spatial distribution of the samples along a series of straight lines (similar to maritime tacks), which is a prominent characteristic of many kinds of UAV surveys. The interpolation relies on the very basic nearest neighbourss algorithm, although augmented with a Machine Learning approach. Such an approach enables the error of less than 5 percent by intelligently adjusting the nearest neighbours algorithm parameters. The method was pilot tested on geomagnetic data with Borok Geomagnetic Observatory UAV aeromagnetic survey data.
aeromagnetic survey, UAV, machine learning, k-NN, Borok observatory
1. Aleshin, I. M., and I. V. Malygin, Machine learning ap- proach to inter-well radio wave survey data imaging, Russian Journal of Earth Sciences, 19(3), ES3003, doihttps://doi.org/10.2205/2019ES000664, 2019.
2. Aleshin, I. M., A. A. Soloviev, M. I. Aleshin, R. V. Sidorov, E. N. Solovieva, and K. I. Kholodkov, Prospects of Using Unmanned Aerial Vehicles in Geomagnetic Surveys, Seismic Instruments, 56(5), 522-530, doihttps://doi.org/10.3103/S0747923920050059, 2020.
3. Chiu, P.-W., A. M. Naim, K. E. Lewis, and C. L. Bloebaum, The hyper-radial visualisation method for multi-attribute decision-making under uncertainty, International Journal of Product Development, 9(1-3), 4-31, doihttps://doi.org/10.1504/IJPD.2009.026172, 2009.
4. Chulliat, A., and S. V. Anisimov, The Borok INTERMAG- NET magnetic observatory, Russian Journal of Earth Sciences, 10(3), ES3003, doihttps://doi.org/10.2205/2007ES000238, 2008.
5. Gvishiani, A., and A. Soloviev, Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation, 311 pp., Springer International Publishing, doihttps://doi.org/10.1007/978-3-030-58969-1, 2020.
6. Khomutov, S. Y., International project INTERMAGNET and magnetic observatories of Russia: cooperation and progress, in E3S Web of Conferences, vol. 62, edited by W. J. Miloch, B. Shevtsov, and G. M. Vodinchar, p. 02008, EDP Sciences, EDP Sciences, doihttps://doi.org/10.1051/e3sconf/20186202008, 2018.
7. Nikitinskiy, V. E., and Y. S. Glebovskiy (Eds.), Magnetic survey: a geophysics handbook, 2nd ed., Nedra, Moscow, (in Russian), 1990.
