Representing Earthquake Accelerogram Records for CNN Utilization

Date

2020-01-01

Author

Cikis, Melis
Tileyoglu, Salih
Akagündüz, Erdem

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more than forty two thousand earthquake records open to the public, an epicenter clustering algorithm was employed, and it was observed that earthquakes in similar clusters produce similar representations. The prospective purpose of the proposed representation is to estimate the epicenter of an earthquake by processing the accelerograms recorded in a single station using convolutional networks.

URI

https://hdl.handle.net/11511/93399

DOI

https://doi.org/10.1109/siu49456.2020.9302312

Conference Name

28th Signal Processing and Communications Applications Conference (SIU)

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

M. Cikis, S. Tileyoglu, and E. Akagündüz, “Representing Earthquake Accelerogram Records for CNN Utilization,” presented at the 28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/93399.