What question did this study set out to answer?

The study aims to introduce a supervised stacking method to effectively improve the signal-to-noise ratio of airborne electromagnetic data.

Introducing the concept of supervised stacking to improve the signal-to-noise ratio: application to airborne electromagnetic data

View Full Paper

Ask AI

Bookmark

Authors

Supervised stacking enhances signal-to-noise ratio in airborne electromagnetic data, suggesting new processing techniques for noisy environments.

The study aims to introduce a supervised stacking method to effectively improve the signal-to-noise ratio of airborne electromagnetic data.
Introduced a supervised stacking method that considers different combinations of raw data.
Estimated the signal-to-noise ratio using singular value decomposition filtering.
Applied the stacking method to three airborne electromagnetic datasets acquired in noisy environments.
The supervised stacking method improved the signal-to-noise ratio significantly.
It reduced high-amplitude noise in the datasets.
Less noisy data resulted in better opportunities for post-processing.

P.-A. Reninger (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Supervised stacking enhances signal-to-noise ratio in airborne electromagnetic data, suggesting new processing techniques for noisy environments.