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Conference object . 2023
License: CC BY NC ND
Data sources: ZENODO
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Article . 2023
License: CC BY NC ND
Data sources: Datacite
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Article . 2023
License: CC BY NC ND
Data sources: Datacite
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Adaptive correction for airborne electromagnetic measurements

Authors: Andrey Volkovitsky; Evgeny Karshakov;

Adaptive correction for airborne electromagnetic measurements

Abstract

We present results of development and practical implementation of the adaptive correction method and algorithm. They ensure high accuracy and stability of the airborne low-frequency inductive electromagnetic measurements. We describe the theoretical foundations of the method and the basic schemes of the algorithm, and consistently consider the stages of computational transformations. We provide several examples of experimentally obtained data proving the effectiveness of the method. The main result achieved is the possibility of functioning of the airborne electromagnetic system without calibration during the entire flight.

Open-Access Online Publication: November 3, 2023

Keywords

measurements transformations, frequency domain; adaptive correction.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green