RADC Seismic Classifier Design

Abstract

This report describes the design and evaluation of seismic classifiers for distinguishing among humans, heavy trucks, armored personnel carriers, helicopters, and C-131 aircraft. The data used to develop these classifiers consisted of many digitized seismometer responses to each of the intrusion targets and was collected by the Sensor Development Section of the Surveillance and Control Division at the West Lee Test Site. The Interactive Processing Section of the Information Sciences Division analyzed this waveform data and extracted an initial set of 48 features. The on-line pattern analysis and recognition system (OLPARS) was then used to develop several seismic classifier designs which are based on different subsets of the initial 48 features.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1973
Accession Number
AD0767208

Entities

People

  • Albert H. Proctor
  • James E. Roach
  • Michael H. Fick

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Armored Personnel Carriers
  • Computer Vision
  • Data Analysis
  • Databases
  • Doppler Effect
  • Feature Extraction
  • Helicopters
  • Information Science
  • Intrusion
  • Machine Learning
  • Measurement
  • Pattern Recognition
  • Power Spectra
  • Probability
  • Recognition
  • Waveforms

Readers

  • Computer Science.
  • Logistics and Supply Chain Management.
  • Neural Network Machine Learning.