Acoustic identification of buried underwater unexploded ordnance using a numerically trained classifier (L)

J Acoust Soc Am. 2012 Dec;132(6):3614-7. doi: 10.1121/1.4763997.

Abstract

Using a finite element-based structural acoustics code, simulations were carried out for the acoustic scattering from an unexploded ordnance rocket buried in the sediment under 3 m of water. The simulation treated 90 rocket burial angles in steps of 2°. The simulations were used to train a generative relevance vector machine (RVM) algorithm for identifying rockets buried at unknown angles in an actual water/sediment environment. The trained RVM algorithm was successfully tested on scattering measurements made in a sediment pool facility for six buried targets including the rocket at 90°, 120°, and 150°, a boulder, a cinderblock, and a cinderblock rolled 45° about its long axis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Acoustics*
  • Algorithms
  • Bombs*
  • Computer Simulation
  • Explosive Agents*
  • Finite Element Analysis
  • Geologic Sediments
  • Models, Theoretical*
  • Motion
  • Numerical Analysis, Computer-Assisted*
  • Oceans and Seas
  • Scattering, Radiation
  • Signal Processing, Computer-Assisted*
  • Sound Spectrography
  • Sound*
  • Support Vector Machine
  • Time Factors
  • Water*

Substances

  • Explosive Agents
  • Water