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.

中文翻译：

---

使用支持向量机的地震和爆炸之间的地震识别。

地震和爆炸之间的区别是地震信号分析中的一个严重问题。提出了一种使用支持​​向量机（SVM）的地震识别方法，其中选择地震信号的P波和S波振幅作为特征向量。此外，为了使用外差激光干涉仪进行地震波检测来提高地震识别性能，霍夫变换被用作补偿方法，用于补偿由激光干涉地震仪中的混频引起的周期性非线性误差。在测试过程中，使用SVM的不同内核功能来区分地震和爆炸。通过使用线性振动台的一些实验，证实了激光干涉仪和霍夫变换方法在精确地震测量和非线性误差补偿方面的出色性能。此外，通过接收器工作特性曲线和从实际实验中获得的其他性能指标，验证了所提出的使用外差激光干涉仪的判别方法的有效性。