Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-183-2022
https://doi.org/10.5194/gi-11-183-2022
Research article
 | 
29 Apr 2022
Research article |  | 29 Apr 2022

Leveling airborne geophysical data using a unidirectional variational model

Qiong Zhang, Changchang Sun, Fei Yan, Chao Lv, and Yunqing Liu

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Cited articles

Bandy, W. L., Gangi, A. F., and Morgan, F. D.: Direct method for determining constant corrections to geophysical survey lines for reducing mis-tie, Geophysics, 55, 885–896, https://doi.org/10.1190/1.1442903, 1990. 
Beiki, M., Bastani, M., and Pedersen, L. B.: Leveling HEM and aeromagnetic data using differential polynomial fitting, Geophysics, 75, 13–23, https://doi.org/10.1190/1.3279792, 2010. 
Bertsekas, D. P.: Constrained optimization and Lagrange Multiplier methods, Computer Science and Applied Mathematics, Academic, Boston, MA, USA, ISBN 1886529043, 1982. 
Bouali, M. and Ladjal, S.: Toward optimal destriping of MODIS data using a unidirectional variational model, IEEE T. Geosci. Remote, 49, 2924–2935, https://doi.org/10.1109/TGRS.2011.2119399, 2011. 
Davydenko, A. Y. and Grayver, A. V.: Principal component analysis for filtering and leveling of geophysical data, J. Appl. Geophys., 109, 266–280, https://doi.org/10.1016/j.jappgeo.2014.08.006, 2014. 
Short summary
In airborne survey, dynamic flight conditions cause unequal data levels, which seriously impact airborne geophysical data analysis and interpretation. A new technique is proposed to level geophysical data in view of the image space properties. We have confirmed the reliability of the method by applying it to the airborne electromagnetic, magnetic and apparent-conductivity data. The method can automatically extract leveling errors without the participation of staff members or tie-line control.