Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Landmine Detection and Discrimination Using High-Pressure Waterjets | EURASIP Journal on Applied Signal Processing 2004 13 1973-1984 2004 Hindawi Publishing Corporation Landmine Detection and Discrimination Using High-Pressure Waterjets Daryl G. Beetner Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Em ail daryl@ R. Joe Stanley Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Email stanleyr@ Sanjeev Agarwal Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Email sanjeev@ Deepak R. Somasundaram Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Email drsz9f@ Kopal Nema Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Email ksnty5@ Bhargav Mantha Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409 USA Email bsmzpd@ Received 11 August 2003 Revised 24 May 2004 Recommended for Publication by Chong-Yung Chi 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 .