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Landmine Detection and Discrimination Using High-Pressure Waterjets

Abstract

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.

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Correspondence to Daryl G. Beetner.

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Beetner, D.G., Stanley, R.J., Agarwal, S. et al. Landmine Detection and Discrimination Using High-Pressure Waterjets. EURASIP J. Adv. Signal Process. 2004, 834943 (2004). https://doi.org/10.1155/S1110865704406040

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Keywords and phrases

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