A study on anomalous signal detection using HMM for ELF electromagnetic wave

A seismic radiation emitted from the earth's crust is useful for predicting earthquakes. The electromagnetic (EM) wave in the Extremely Low Frequency (ELF) band have been observed at many places in Japan. In this paper, we propose the anomalous signal detection method based on HMM whose input v...

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Bibliographic Details
Published in2010 IEEE International Geoscience and Remote Sensing Symposium pp. 1601 - 1604
Main Authors Ito, Y, Itai, A, Yasukawa, H, Takumi, I, Hata, M
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
amplitude density distribution
Earthquakes
Electromagnetic scattering
electromagnetic wave
extremely low frequency band
Geophysical measurement techniques
Ground penetrating radar
hidden markov model
Hidden Markov models
Noise
Training data
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Summary:A seismic radiation emitted from the earth's crust is useful for predicting earthquakes. The electromagnetic (EM) wave in the Extremely Low Frequency (ELF) band have been observed at many places in Japan. In this paper, we propose the anomalous signal detection method based on HMM whose input vector is the amplitude density distribution of an EM wave. The amplitude density distribution is calculated from the image of an EM wave data. The optimal scale of an image to calculate an amplitude density distribution and the optimal number of states of HMM are investigated to achieve an accurate detection.
ISBN:1424495652
9781424495658
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2010.5652622