@article{ref1,
title="Seismic discrimination between earthquakes and explosions using support vector machine",
journal="Sensors (Basel)",
year="2020",
author="Kim, Sangkyeum and Lee, Kyunghyun and You, Kwanho",
volume="20",
number="7",
pages="e1879-e1879",
abstract="The discrimination between earthquakes and explosions is a serious issue in seismic signal analysis. This paper proposes a seismic discrimination method using support vector machine (SVM), wherein the amplitudes of the P-wave and the S-wave of the seismic signals are selected as feature vectors. Furthermore, to improve the seismic discrimination performance using a heterodyne laser interferometer for seismic wave detection, the Hough transform is applied as a compensation method for the periodic nonlinearity error caused by the frequency-mixing in the laser interferometric seismometer. In the testing procedure, different kernel functions of SVM are used to discriminate between earthquakes and explosions. The outstanding performance of a laser interferometer and Hough transform method for precision seismic measurement and nonlinearity error compensation is confirmed through some experiments using a linear vibration stage. In addition, the effectiveness of the proposed discrimination method using a heterodyne laser interferometer is verified through a receiver operating characteristic curve and other performance indices obtained from practical experiments.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20071879",
url="http://dx.doi.org/10.3390/s20071879"
}