Articles | Volume 26, issue 9
https://doi.org/10.5194/nhess-26-4529-2026
https://doi.org/10.5194/nhess-26-4529-2026
Research article
 | 
23 Sep 2026
Research article |  | 23 Sep 2026

Infra-Net: a robust parallel decision-making network for discriminating natural hazards and anthropogenic infrasound events via multi-view feature learning

Hongru Li, Xihai Li, Jihao Liu, Shengjie Luo, and Yun Zhang

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Short summary
This study focuses on improving the monitoring of natural disasters like volcanic eruptions and earthquakes using infrasound. We developed a model called Infra-Net to better identify these events. By analyzing sound from multiple angles and combining different perspectives, our system accurately distinguishes natural hazards from human activity. This research provides a more reliable way to detect early warning signs of disasters, helping to improve global safety through more precise monitoring.
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