Seismic Pattern Recognition.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
Pagination or Media Count:
The paper applies various pattern recognition techniques to the problem of discriminating underground nuclear explosion seismic signals from those of natural earthquakes. The data set consists of 186 short period seismograms recorded by the Large Aperture Seismic Array in Montana. Enough seismic and pattern recognition theory is developed to allow easy interpretation of the results. The techniques tested run the gamut from simple, linear classifiers to a complex, adaptive, nonlinear classifier. The best results were 99.4 correct identification of earthquakes and 94.2 correct identification of explosions. Author
- Seismic Detection and Detectors