arXiv Open Access 2022

Geomagnetic Survey Interpolation with the Machine Learning Approach

Igor Aleshin Kirill Kholodkov Ivan Malygin Roman Shevchuk Roman Sidorov

Lihat Sumber

Abstrak

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 Neighbours algorithm, although augmented with a Machine Learning approach. Such an approach enables the error of less than 5 percent by intelligently adjusting the Nearest Neighbour algorithm parameters. The method was pilot tested on geomagnetic data with Borok Geomagnetic Observatory UAV aeromagnetic survey data.

Topik & Kata Kunci

physics.geo-ph cs.LG

Penulis (5)

Igor Aleshin

Kirill Kholodkov

Ivan Malygin

Roman Shevchuk

Roman Sidorov

Format Sitasi

APA MLA BibTeX

Aleshin, I., Kholodkov, K., Malygin, I., Shevchuk, R., Sidorov, R. (2022). Geomagnetic Survey Interpolation with the Machine Learning Approach. https://arxiv.org/abs/2210.03379

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓