The application of advanced pattern recognition techniques for the discrimination between earthquakes and nuclear detonations

摘要

This paper presents a study of several features thought to be useful in the discrimination between the seismic signatures generated by nuclear detonations and those generated by earthquakes. All signatures were recorded at teleseismic distances. Two new features are introduced; the adaptive-static and the adaptive-dynamic spectral ratios. The data base used in this study consisted of approximately 250 earthquakes and 150 nuclear detonations. The signatures were transformed into feature sets by means of third moments of frequency as well as complexity, normal-static, adaptive-static, normal-dynamic, and adaptive-dynamic spectral ratios. Exponential potential functions were used to generate the classification hyperplanes. The data base was randomly divided into learning and evaluation subsets. A 99% classification was achieved for the learning subset and a 97% classification was obtained for the evaluation subset.