Evaluation of Regional Seismic Discriminants Using the Intelligent Seismic Event Identification System.

Abstract

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 23, 1992
Accession Number
ADA258936

Entities

People

  • Douglas Baumgardt
  • Jeanne Carney
  • Michael Maxson
  • Sam Carter

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programming
  • Computers
  • Databases
  • Eurasia
  • Explosions
  • Feature Extraction
  • Frequency Bands
  • Geographic Regions
  • Identification Systems
  • Information Science
  • Machine Learning
  • Multivariate Analysis
  • Nuclear Explosions
  • Pattern Recognition
  • Seismic Discrimination
  • Statistical Analysis
  • Waves

Readers

  • Approximation Theory.
  • Neural Network Machine Learning.
  • Seismology

Technology Areas

  • AI & ML