Open Access

Landmine Detection and Discrimination Using High-Pressure Waterjets

  • Daryl G. Beetner1Email author,
  • R. Joe Stanley1,
  • Sanjeev Agarwal1,
  • Deepak R. Somasundaram1,
  • Kopal Nema1 and
  • Bhargav Mantha1
EURASIP Journal on Advances in Signal Processing20042004:834943

Received: 11 August 2003

Published: 5 October 2004


Methods of locating and identifying buried landmines using high-pressure waterjets were investigated. Methods were based on the sound produced when the waterjet strikes a buried object. Three classification techniques were studied, based on temporal, spectral, and a combination of temporal and spectral approaches using weighted density distribution functions, a maximum likelihood approach, and hidden Markov models, respectively. Methods were tested with laboratory data from low-metal content simulants and with field data from inert real landmines. Results show that the sound made when the waterjet hit a buried object could be classified with a 90% detection rate and an 18% false alarm rate. In a blind field test using 3 types of harmless objects and 7 types of landmines, buried objects could be accurately classified as harmful or harmless 60%–90% of the time. High-pressure waterjets may serve as a useful companion to conventional detection and classification methods.

Keywords and phrases

signal processing classification pattern recognition high-pressure waterjet object detection unexploded ordnance

Authors’ Affiliations

Electrical and Computer Engineering, University of Missouri-Rolla


© Beetner et al. 2004