Earthquake phase association algorithms aggregate picked seismic phases from a network of seismometers into individual earthquakes and play an important role in earthquake monitoring. Dense networks improved picking methods produce massive data sets, particularly for swarms aftershocks occurring closely time space, making challenging problem. We present new method, the Gaussian Mixture Model As...

Gaussian mixture background model is widely used in moving target detection of the image sequences. However, traditional Gaussian mixture background model usually considers the time continuity of the pixels, and establishes background through statistical distribution of pixels without taking into account the pixels’ spatial similarity, which will cause noise, imperfection and other problems. Th...