DOI number:10.1093/gji/ggab407
Affiliation of Author(s):中国科学技术大学地球和空间科学学院
Journal:Geophysical Journal International
Place of Publication:英国
Abstract: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
First Author:James Atterholt
Co-author:Zhongwen Zhan, Zhichao Shen,Zefeng Li
Indexed by:Journal paper
Correspondence Author:James Atterholt
Document Code:22
Discipline:Natural Science
First-Level Discipline:Geophysics
Document Type:SCI
Volume:228
Issue:2
Page Number:1410-1418
ISSN No.:0956-540X
Translation or Not:no
Date of Publication:2021-10-07
Links to published journals:https://doi.org/10.1093/gji/ggab407
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