Two-Dimensional Signal Processing for Regional Seismic Event Identification.

Abstract

The objective of this research was to develop a methodology for regional seismic event identification which utilizes 2-dimensional signal processing and treats the seismogram as an image. The motivation for this research comes from the observation that the spectral features which distinguish quarry explosions from earthquakes can be seen throughout the entire seismogram. These features, which include spectral banding, are apparent in the time-frequency (TF) representation of the seismogram. We parameterized the TF representation by computing the wavenumber spectrum of the image and fitting this to a stochastic surface model developed to characterize bathymetric surfaces. Five model parameters control image features such as lineations, spatial orientation, characteristics lengths, and roughness of the surface. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA292601

Entities

People

  • Jay J. Pulli
  • Paul S. Dysart

Tags

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Databases
  • Earth Sciences
  • Earthquakes
  • Explosions
  • Frequency
  • Geography
  • Geophysics
  • Identification
  • Image Processing
  • Information Processing
  • Information Science
  • Planetary Sciences
  • Power Spectra
  • Signal Processing
  • Spectra
  • Two Dimensional

Readers

  • Computer Vision.
  • Seismology