Evaluation of regional seismic discriminants using the intelligent seismic event identification system. Semi-annual report
In this study, the effectiveness of several regional waveform discriminants and processing methods are being evaluated using a large database of regional waveforms. ISEIS has been installed at the Center for Seismic Studies (CSS) where it is being used to process and analyze discriminants for seismic events formed by the Intelligent Monitoring System (IMS). The system has undergone a number of modifications to interface with the CSS databases and to improve the processing efficiency of the system in the CSS environment. Also, a number of new features have been added to facilitate the processing of the data and discrimination research, including automated feature extraction and processing, improved plotting displays for reviewing IMS and analyst phase identification, data viewing displays for reference events plotted in scatterplots, a new top-level display for viewing ISEIS processing results, multichannel coherence and deconvolution processing interfaces, and a research interface for multivariate classification using a simulated neural network approach.
- Research Organization:
- Ensco, Inc., Springfield, VA (United States)
- OSTI ID:
- 6712562
- Report Number(s):
- AD-A-258936/4/XAB; SAS-TR--93-38; CNN: F29601-92-C-0009; ARPA ORDER-6731
- Country of Publication:
- United States
- Language:
- English
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ARTIFICIAL INTELLIGENCE
AUTOMATION
DATA BASE MANAGEMENT
DETECTION
EARTHQUAKES
EFFICIENCY
EXPLOSIONS
IDENTIFICATION SYSTEMS
INTERFACES
MANAGEMENT
MEASURING INSTRUMENTS
MONITORING
NEURAL NETWORKS
NUCLEAR EXPLOSION DETECTION
NUCLEAR EXPLOSIONS
PROCESSING
SEISMIC ARRAYS
SEISMIC DETECTION
SEISMIC EVENTS
WAVE FORMS