A Time Picking Method Based on Spectral Multimanifold Clustering in Microseismic Data

P-wave time picking is of great significance in microseismic data processing. However, traditional time picking methods do not consider the difference of low-dimensional manifold features between signal and noise which can be extracted more effectively in low signal to noise ratio scenarios. In this...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2017-08, Vol.14 (8), p.1273-1277
Hauptverfasser:	Meng, Yuqi, Li, Yue, Zhang, Chao, Zhao, Haitao
Format:	Artikel
Sprache:	eng
Schlagworte:	Affinity Affinity matrix Arrivals Clustering Clustering algorithms Clustering methods Clusters Data Data analysis Data mining Data processing Feature extraction Immunity low-dimensional manifold features Manifolds Matrix decomposition Methods microseismic data Microseisms Noise Picking Signal to noise ratio Similarity Spectra Stability time picking
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