Geomagnetic Survey Interpolation with the Machine Learning Approach

This paper portrays the method of UAV magnetometry survey data interpolation. The accommodates fact that this kind has a spatial distribution samples along series straight lines (similar to maritime tacks), which is prominent characteristic many kinds surveys. interpolation relies on very basic Nearest Neighbours algorithm, although augmented with Machine Learning approach. Such an approach enables error less than 5 percent by intelligently adjusting Neighbour algorithm parameters. was pilot tested geomagnetic Borok Geomagnetic Observatory aeromagnetic data.