Reducing Magnetic Noise of an Unmanned Aerial Vehicle for High-Quality Magnetic Surveys
Joint Authors
Sterligov, Boris
Cherkasov, Sergei
Source
International Journal of Geophysics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The use of light and ultralight unmanned aerial vehicles (UAVs) for magnetic data acquisition can be efficient for resolving multiple geological and engineering tasks including geological mapping, ore deposits’ prospecting, and pipelines’ monitoring.
The accuracy of the aeromagnetic data acquired using UAV depends mainly on deviation noise of electric devices (engine, servos, etc.).
The goal of this research is to develop a nonmagnetic unmanned aerial platform (NUAP) for high-quality magnetic surveys.
Considering parameters of regional and local magnetic survey, a fixed-wing UAV suits geological tasks better for plain area and copter type for hills and mountains.
Analysis of the experimental magnetic anomalies produced by a serial light fixed-wing UAV and subsequent magnetic and aerodynamic modeling demonstrates a capacity of NUAP with internal combustion engine carrying an atomic magnetic sensor mounted on the UAV wings to facilitate a high-quality magnetic survey.
American Psychological Association (APA)
Sterligov, Boris& Cherkasov, Sergei. 2016. Reducing Magnetic Noise of an Unmanned Aerial Vehicle for High-Quality Magnetic Surveys. International Journal of Geophysics،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1106201
Modern Language Association (MLA)
Sterligov, Boris& Cherkasov, Sergei. Reducing Magnetic Noise of an Unmanned Aerial Vehicle for High-Quality Magnetic Surveys. International Journal of Geophysics No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1106201
American Medical Association (AMA)
Sterligov, Boris& Cherkasov, Sergei. Reducing Magnetic Noise of an Unmanned Aerial Vehicle for High-Quality Magnetic Surveys. International Journal of Geophysics. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1106201
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106201