Earthquake Event Classification Using Multitasking Deep Learning
事件(粒子物理)
任务(项目管理)
作者
Bonhwa Ku,Jeungki Min,Jae-Kwang Ahn,Jimin Lee,Hanseok Ko
出处
期刊:IEEE Geoscience and Remote Sensing Letters [Institute of Electrical and Electronics Engineers] 日期:2021-07-01卷期号:18 (7): 1149-1153被引量:1
标识
DOI:10.1109/lgrs.2020.2996640
摘要
This letter proposes an attention-based convolutional neural network architecture for multitasking learning to accurately classify not only the presence of an earthquake but also the event type of the earthquake. In particular, to improve the performance in earthquake-type classification, we develop an attention-based feature aggregation framework embedded in multitask learning architecture. Representative experimental results show that the proposed method provides an effective structure for an earthquake detection and event classification with an earthquake database of the Korean peninsula and the Circum-Pacific belt.