DOI码：

10.1785/0220250052

所属单位：

中国科学技术大学地球和空间科学学院

发表刊物：

Seismological Research Letters

刊物所在地：

美国

摘要：

In Antarctica, seismic monitoring and detection is significant for understanding long-term glacier activity, glacial melting, and other related scientific issues. We deployed 8 three-component short-period seismometers near the grounding line of the Dalk Glacier ice tongue in Southeast Antarctica, collecting seismic signals from 19 October 2022 to 28 February 2023. We applied unsupervised deep learning, using an autoencoder to encode the features of the input spectrograms into low-dimensional latent vectors, which were then input into a Gaussian mixture model for clustering. We ultimately iden

第一作者：

Lei Zhao

合写作者：

Lei Fu, Jingxue Guo, Yanlan Hu,李泽峰, Kai Lu, Ruijia Wang, Xiangyun Hu

论文类型：

期刊论文

通讯作者：

Lei Fu

论文编号：

45

学科门类：

理学

一级学科：

地球物理学

文献类型：

SCI

卷号：

97

期号：

1

页面范围：

425-438

ISSN号：

0895-0695

是否译文：

否

发表时间：

2025-08-27

发布期刊链接：

https://doi.org/10.1785/0220250052