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Representing Earthquake Accelerogram Records for CNN Utilization

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Date
2020
Author
Cikis, Melis
Tileyoğlu, Salih
Akagündüz, Erdem
Abstract
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.

Source

2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)

URI

https://hdl.handle.net/20.500.12469/4050

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Araştırma Çıktıları / WOS [1518]

Keywords

Convolutinal Neural Networks
Epicenter Clustering
Earthquake Accelograms

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
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