Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data

Pan Xiong, Xingfa Gu, Xuhui Shen, Xueming Zhang, Chunli Kang, Yaxin Bi

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

In this paper we present an analysis of DEMETER (Detection of Electromagnetic Emissions Transmitted from Earthquake Regions) satellite data by using the wavelet-based data mining techniques. The analyzed results reveal that the possible anomalous variations exist around the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been used to analyze the singularities of seismic precursors in DEMETER satellite data, which are associated with the two earthquakes of Wenchuan and Pure recently occurred in China.
LanguageEnglish
Title of host publicationKnowledge Science, Engineering and Management
Pages1-11
Publication statusPublished - 2011

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wavelet
satellite data
anomaly
earthquake
temporal analysis
data mining
detection
method

Cite this

Xiong, P., Gu, X., Shen, X., Zhang, X., Kang, C., & Bi, Y. (2011). Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data. In Knowledge Science, Engineering and Management (pp. 1-11)
Xiong, Pan ; Gu, Xingfa ; Shen, Xuhui ; Zhang, Xueming ; Kang, Chunli ; Bi, Yaxin. / Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data. Knowledge Science, Engineering and Management. 2011. pp. 1-11
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abstract = "In this paper we present an analysis of DEMETER (Detection of Electromagnetic Emissions Transmitted from Earthquake Regions) satellite data by using the wavelet-based data mining techniques. The analyzed results reveal that the possible anomalous variations exist around the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been used to analyze the singularities of seismic precursors in DEMETER satellite data, which are associated with the two earthquakes of Wenchuan and Pure recently occurred in China.",
author = "Pan Xiong and Xingfa Gu and Xuhui Shen and Xueming Zhang and Chunli Kang and Yaxin Bi",
year = "2011",
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Xiong, P, Gu, X, Shen, X, Zhang, X, Kang, C & Bi, Y 2011, Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data. in Knowledge Science, Engineering and Management. pp. 1-11.

Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data. / Xiong, Pan; Gu, Xingfa; Shen, Xuhui; Zhang, Xueming; Kang, Chunli; Bi, Yaxin.

Knowledge Science, Engineering and Management. 2011. p. 1-11.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data

AU - Xiong, Pan

AU - Gu, Xingfa

AU - Shen, Xuhui

AU - Zhang, Xueming

AU - Kang, Chunli

AU - Bi, Yaxin

PY - 2011

Y1 - 2011

N2 - In this paper we present an analysis of DEMETER (Detection of Electromagnetic Emissions Transmitted from Earthquake Regions) satellite data by using the wavelet-based data mining techniques. The analyzed results reveal that the possible anomalous variations exist around the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been used to analyze the singularities of seismic precursors in DEMETER satellite data, which are associated with the two earthquakes of Wenchuan and Pure recently occurred in China.

AB - In this paper we present an analysis of DEMETER (Detection of Electromagnetic Emissions Transmitted from Earthquake Regions) satellite data by using the wavelet-based data mining techniques. The analyzed results reveal that the possible anomalous variations exist around the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been used to analyze the singularities of seismic precursors in DEMETER satellite data, which are associated with the two earthquakes of Wenchuan and Pure recently occurred in China.

M3 - Chapter

SN - 978-3-642-25974-6

SP - 1

EP - 11

BT - Knowledge Science, Engineering and Management

ER -

Xiong P, Gu X, Shen X, Zhang X, Kang C, Bi Y. Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data. In Knowledge Science, Engineering and Management. 2011. p. 1-11