Explosion discrimination using seismic gradiometry and spectral filtering of data

Explosion Discrimination Using Seismic Gradiometry and Spectrally Filtered Principal Components: Controlled Field Experiments

C Challu, C Poppeliers… - Bulletin of the …, 2022 - pubs.geoscienceworld.org
Spectrally filtered principal component analysis (SFPCA) is a method we developed to
discriminate between seismic source types. It is based on the well‐known principal …
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Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment (Phase II)

RW Porritt, RE Abbott, C Poppeliers - 2022 - osti.gov
In this report, we assess the data recorded by a Distributed Acoustic Sensing (DAS) cable
deployed during the Source Physics Experiment, Phase II (DAG) in comparison with the data …
被引用次数：2 相关文章 所有 2 个版本