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Landslide-Induced Seismic Signal Clustering With Outlier Removal | IEEE Journals & Magazine | IEEE Xplore

Landslide-Induced Seismic Signal Clustering With Outlier Removal


Abstract:

Seismic clustering is a vital technique in seismology for identifying patterns in seismic events and providing insights into geological processes. However, its applicatio...Show More

Abstract:

Seismic clustering is a vital technique in seismology for identifying patterns in seismic events and providing insights into geological processes. However, its application to ongoing landslide-induced signals and impact of outliers have not received much research attention. This letter presents a novel consensus clustering strategy with outlier removal for landslide-induced seismic signals. The proposed approach incorporates a parameter setting method to improve clustering accuracy and robustness. Experimental results demonstrate that the proposed approach outperforms the state-of-the-art clustering methods.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)
Article Sequence Number: 3003305
Date of Publication: 24 October 2023

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