Multiview Kernels for Low-Dimensional Modeling of Seismic Events

Ofir Lindenbaum; Yuri Bregman; Neta Rabin; Amir Averbuch

doi:10.1109/TGRS.2018.2797537

Multiview Kernels for Low-Dimensional Modeling of Seismic Events

Ofir Lindenbaum, Yuri Bregman, Neta Rabin, Amir Averbuch

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

The problem of learning from seismic recordings has been studied for years. There is a growing interest of developing automatic mechanisms for identifying the properties of a seismic event. One main motivation is the ability to have a reliable identification of man-made explosions. The availability of multiple high-dimensional observations has increased the use of machine learning techniques in a variety of fields. In this paper, we propose to use a kernel-fusion-based dimensionality reduction framework for generating meaningful seismic representations from raw data. The proposed method is tested on 2023 events that were recorded in Israel and Jordan. The method achieves promising results in the classification of event type as well as the estimation of the event location. The proposed fusion and dimensionality reduction tools may be applied to other types of geophysical data.

Original language	English
Pages (from-to)	3300-3310
Number of pages	11
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	56
Issue number	6
DOIs	https://doi.org/10.1109/TGRS.2018.2797537
State	Published - Jun 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 1980-2012 IEEE.

Funding

Manuscript received May 26, 2017; revised October 5, 2017 and December 4, 2017; accepted January 2, 2018. Date of publication February 14, 2018; date of current version May 21, 2018. This work was supported by the Research Grant of Pazy Foundation 2015–2017. (Corresponding author: Ofir Lindenbaum.) O. Lindenbaum is with the Applied Mathematics Program, Yale University, New Haven, CT 06520 USA (e-mail: [email protected]). Y. Bregman is with the Israel National Data Center, Soreq Nuclear Research Center, Yavne 70600, Israel. N. Rabin is with the Unit of Mathematics, Afeka-Tel-Aviv Academic College of Engineering, Tel Aviv-Yafo 6910717, Israel. A. Averbuch is with the School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TGRS.2018.2797537

Funders	Funder number
PAZY Foundation

Keywords

Diffusion maps (DMs)
dimensionality reduction
multiview
seismic discrimination

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10.1109/TGRS.2018.2797537

Cite this

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Multiview Kernels for Low-Dimensional Modeling of Seismic Events

Abstract

Bibliographical note

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Keywords

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