What question did this study set out to answer?

The aim is to enhance the accuracy of geological hazard detection using a new stacking method for seismic data.

A continuous towed seismic data multi‐scale stack method

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Randomized trial demonstrates advantages of a novel stacking method for seismic data interpretation, highlighting improved analysis capabilities.

The aim is to enhance the accuracy of geological hazard detection using a new stacking method for seismic data.
Developed a multi-scale stacking method utilizing a deep belief network (DBN) to process seismic data.
Redesigned an algorithm for training the weight matrix with limited data to distinguish wavefields.
Conducted numerical simulations to test the effectiveness of the proposed method against conventional techniques.
The proposed method significantly improves the final stack results in low signal-to-noise ratio conditions.
It allows for better extraction of wavefields with distinct characteristics for near-surface anomaly analysis.
The method efficiently suppresses noise and enhances the identification of weak energy reflected and diffracted waves.

Lu et al. (2026) studied this question.

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Randomized trial demonstrates advantages of a novel stacking method for seismic data interpretation, highlighting improved analysis capabilities.