Signal Processing on Precursory “Fingerprint” Image Pattern Feature of Yushu Earthquake

Yue Yang; Wei Liu; Zuoxun Zeng; Wei Xue

doi:10.20965/jaciii.2016.p1165

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JACIII Vol.20 No.7 pp. 1165-1169

doi: 10.20965/jaciii.2016.p1165

(2016)

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Signal Processing on Precursory “Fingerprint” Image Pattern Feature of Yushu Earthquake

Yue Yang^, Wei Liu^, Zuoxun Zeng^**, and Wei Xue^*

^*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

^**School of Earth Sciences, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

Received:

July 6, 2016

Accepted:

October 18, 2016

Published:

December 20, 2016

Keywords:

earthquake, precursory data, fingerprint

Abstract

Precursory earthquake data are linked closely to the earthquake processes. Taking the Tibetan Autonomous Region’s Yushu County earthquake as an example, we analyzed three types of earthquake signals and studied a modeling method for self-adaptative matching warning data on precursory data’s fingerprint features. We calculated different timescale features of precursory fingerprint pattern images based on statistical physics and image matching. We also developed corresponding fuzzy discriminant rules and established a database of warning-image fingerprint pattern features for the Yushu County region and studied evolutionary laws for the data feature patterns under different time scales during abnormal development in front of and behind of abnormal development. Result were similar to the general “fingerprint” pattern feature among precursory earthquake data for different signal channels, but the details of these characteristics are completely different. This special “fingerprint” image pattern feature is useful as on early warning of possible geological follow-up activity. Our method could improve the limitations on and low efficiency of manual handling and could also heighten observational accuracy and work efficiency.

Cite this article as:

Y. Yang, W. Liu, Z. Zeng, and W. Xue, “Signal Processing on Precursory “Fingerprint” Image Pattern Feature of Yushu Earthquake,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.7, pp. 1165-1169, 2016.

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References

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[2] A.C. Fraser Smith, A. Bemardi, P. R. Mcgill et al., “Low frequency magnetic field measurements near the epicenter of the Ms7.1 Loma Prieta earthquake” GeophysResLett, Vol.17, No.9, pp. 465-146, 1990.
[3] K. Hattori, L. Tahashi, and C. Yoshino, “ULF geomagnetic field measurements in Japan and some recent results associated with IwatekenNairi Hokubu earthquake in 1998,” Physics and Chemistry of the Earth, Vol.29, No.4, pp. 481-489, 2004.
[4] Z. Zeng, G. Liu, and X. Li, “Imminent and Medium-trem Predictions for Ludian Earthquake (Ms6.5) and Rheolgoical Structure of the Middle Crust,” Earth Science – J. of China University of Geosciences, Vol.39, No.12, 2014.
[5] A. K. Jain and J. Feng, “Latent fingerprint matching,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.33, No.1, pp. 88-100, 2011.
[6] P. Shebalin, V. Keilis-Borok, A. Gabrielov et al., “Short-term earthquake prediction by reverse analysis of lithosphere dynamics,” Tectonophysics, Vol.413, No.1, pp. 63-75, 2006.
[7] K. Nilam and R. Joshi, “Adaptive Fingerprint Image Enhancement for Low-Quality of Images by Learning From the Images and Features Extraction,” Int. J. of software & Hardware Research Engineering, Vol.22, No.13, 2014.
[8] G. Liu, Z. Zeng, and J Wang, “Imminent prediction for Minxian earthquake (Ms6.6) using fingerprint method,” Earth Science Frontiers, Vol.20, No.6, pp. 156-161, 2013.
[9] T. Seher and I.G. Main, “A statistical evaluation of a ’stress-forecast’ earthquake,” Geophysical J. Int., Vol.157, No.1, pp. 187-193, 2004.
[10] S. Uyeda, T. Nagao, and M. Kamogawa, “Short-term earthquake prediction: Current status of seismo-electromagnetics,” Tectonophysics, Vol.470, No.3, pp. 205-213, 2009.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] Y. T. Chen, “Earthquake prediction: Retrospect and prospect (in Chinese)” Sci China Ser D-Earth Sci, Vol.39, No.12, pp. 1633-1658, 2009.

[2] [2] A.C. Fraser Smith, A. Bemardi, P. R. Mcgill et al., “Low frequency magnetic field measurements near the epicenter of the Ms7.1 Loma Prieta earthquake” GeophysResLett, Vol.17, No.9, pp. 465-146, 1990.

[3] [3] K. Hattori, L. Tahashi, and C. Yoshino, “ULF geomagnetic field measurements in Japan and some recent results associated with IwatekenNairi Hokubu earthquake in 1998,” Physics and Chemistry of the Earth, Vol.29, No.4, pp. 481-489, 2004.

[4] [4] Z. Zeng, G. Liu, and X. Li, “Imminent and Medium-trem Predictions for Ludian Earthquake (Ms6.5) and Rheolgoical Structure of the Middle Crust,” Earth Science – J. of China University of Geosciences, Vol.39, No.12, 2014.

[5] [5] A. K. Jain and J. Feng, “Latent fingerprint matching,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.33, No.1, pp. 88-100, 2011.

[6] [6] P. Shebalin, V. Keilis-Borok, A. Gabrielov et al., “Short-term earthquake prediction by reverse analysis of lithosphere dynamics,” Tectonophysics, Vol.413, No.1, pp. 63-75, 2006.

[7] [7] K. Nilam and R. Joshi, “Adaptive Fingerprint Image Enhancement for Low-Quality of Images by Learning From the Images and Features Extraction,” Int. J. of software & Hardware Research Engineering, Vol.22, No.13, 2014.

[8] [8] G. Liu, Z. Zeng, and J Wang, “Imminent prediction for Minxian earthquake (Ms6.6) using fingerprint method,” Earth Science Frontiers, Vol.20, No.6, pp. 156-161, 2013.

[9] [9] T. Seher and I.G. Main, “A statistical evaluation of a ’stress-forecast’ earthquake,” Geophysical J. Int., Vol.157, No.1, pp. 187-193, 2004.

[10] [10] S. Uyeda, T. Nagao, and M. Kamogawa, “Short-term earthquake prediction: Current status of seismo-electromagnetics,” Tectonophysics, Vol.470, No.3, pp. 205-213, 2009.

Signal Processing on Precursory “Fingerprint” Image Pattern Feature of Yushu Earthquake

Yue Yang*, Wei Liu*, Zuoxun Zeng**, and Wei Xue*

Yue Yang^, Wei Liu^, Zuoxun Zeng^**, and Wei Xue^*