DOI码：

10.1093/gji/ggab407

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：

Geophysical Journal International

刊物所在地：

英国

摘要：

While distributed acoustic sensing (DAS) has been demonstrated to have great potential in seismology, DAS data often have much higher levels of stochastic and coherent noise (e.g. instrument noise, traffic vibrations) than data collected by traditional seismometers. The linearly, densely spaced nature of DAS arrays presents a suite of opportunities for more innovative processing techniques that can be used to address this issue. One way to take advantage of DAS’s array architecture is through the use of curvelets. Curvelets have a non-uniform scaling property that makes them an excellent tool

第一作者：

James Atterholt

合写作者：

Zhongwen Zhan, Zhichao Shen,李泽峰

论文类型：

期刊论文

通讯作者：

James Atterholt

论文编号：

22

学科门类：

理学

一级学科：

地球物理学

文献类型：

SCI

卷号：

228

期号：

2

页面范围：

1410-1418

ISSN号：

0956-540X

是否译文：

否

发表时间：

2021-10-07

发布期刊链接：

https://doi.org/10.1093/gji/ggab407