Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model

Abstract In airborne electromagnetic data processing, correcting leveling errors is critical for ensuring data accuracy. Traditional leveling methods predominantly rely on time-domain and frequency-domain analysis to characterize leveling errors. However, a significant challenge remains in balancing...

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Bibliographic Details
Main Authors: Qiong Zhang, Xin Chen, Haomiao Wang, Zhonghang Ji, Fei Yan, Yunqing Liu
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Earth, Planets and Space
Subjects:
Online Access:https://doi.org/10.1186/s40623-025-02142-8
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