Share Email Print
cover

Proceedings Paper

Acoustic-seismic mine detection based on spatial-spectral distribution of poles
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The acoustic-seismic mine detection concept is based on the principle that an area with a buried object shows different dynamic response to acoustic excitation from that of soil. In this paper, we attempt to model and identify the dynamic behavior of a landmine under acoustic excitation for the purpose of automatic mine detection. A linear distributed model is used to model the two-dimensional vibration patterns of landmines. According to modal analysis of the model, it is shown that locations of the poles remain invariant throughout the area where a mine is buried underneath, and can be used as important features for distinguishing mines from clutter. A time-domain method that utilizes the acoustic pressure measured by a microphone as the input and the ground velocity measured by a laser Doppler vibrometer (LDV) as the output was employed to identify the model parameters including the poles. Based on the invariant property of the poles, the identified poles from neighboring measurements were combined to separate any area that show features in the spatial-spectral domain that correspond to presence of a mine.

Paper Details

Date Published: 11 September 2003
PDF: 8 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.488030
Show Author Affiliations
Ssu-Hsin Yu, Scientific Systems Co., Inc. (United States)
Thomas R. Witten, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway Jr.; J. T. Broach, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray