Sustainable development in urban areas requires a wide variety of current and theme-based
information for efficient management and planning. In addition, researching the spatial …

With the deployment of high quality and dense permanent seismic networks over the last 15
yr comes a dramatic increase of data to process. In order to lower the threshold value of …

The random noise attenuation is an essential step in seismic data processing. Due to
complex geological conditions and acquisition environment, the intensity of the effective …

Classification of local‐distance, low‐magnitude seismic events is challenging because
signals can be numerous and difficult to characterize with approaches developed for larger …

Traditional seismic phase pickers perform poorly during periods of elevated seismicity due
to inherent weakness when detecting overlap** earthquake waveforms. This weakness …

Résumé The region of northeastern France is affected by low-magnitude background
seismicity, with the rare occurrence of moderate earthquakes, which gives this region a non …

Determining the depths of small crustal earthquakes is challenging in many regions of the
world, because most seismic networks are too sparse to resolve trade‐offs between depth …

The classification of seismic events is crucial for monitoring underground nuclear explosions
and regional unnatural seismic events. To classify tectonic earthquakes, explosions, and …

With the increased frequency and intensity of landslides in recent years, there is growing
research on timely detection of the underlying subsurface processes that contribute to these …

Seismic event detection is a basic and crucial task in seismic data processing. With the
gradual increase in seismic observation data, how to detect seismic events from seismic …