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.
D. G. Beetner et al., "Landmine Detection and Discrimination using High-Pressure Waterjets," EURASIP Journal of Applied Signal Processing, vol. 2004, no. 13, pp. 1973-1984, Hindawi Publishing Corporation, Oct 2004.
The definitive version is available at https://doi.org/10.1155/S1110865704406040
Electrical and Computer Engineering
Keywords and Phrases
High-pressure Waterjet; Object Detection; Pattern Recognition; Classification; Signal Processing; Unexploded Ordnance; Classification; Signal processing; Unexploded ordnance
International Standard Serial Number (ISSN)
Article - Journal
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