Saad, Omar M., and Yangkang Chen. "CapsPhase: Capsule neural network for seismic phase classification and picking." IEEE Transactions on Geoscience and Remote Sensing 60 (2021): 1-11.
CapsPhase consists of several layers, e.g., convolutional, primary capsule, and digit capsule layer. The convolutional layer extracts the significant features from the seismic data, while the primary capsule combines the extracted features into several vector representations named capsules. Afterward, the primary capsule is connected to the digit capsule layer using a dynamic routing strategy to obtain the vector representation of each output class, i.e., P-wave, S-wave, and noise class.