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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Identifying Vehicles Using Vibrometry Signatures
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Mark R. Stevens, Magnús Snorrason, Daniel Petrovich, "Identifying Vehicles Using Vibrometry Signatures," Pattern Recognition, International Conference on, vol. 3, pp. 30253, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047842,
author = {Mark R. Stevens and Magnús Snorrason and Daniel Petrovich},
title = {Identifying Vehicles Using Vibrometry Signatures},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30253},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047842},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Identifying Vehicles Using Vibrometry Signatures
SN - 1051-4651
SP
EP
A1 - Mark R. Stevens,
A1 - Magnús Snorrason,
A1 - Daniel Petrovich,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Mark R. Stevens, Charles River Analytics
Magnús Snorrason, Charles River Analytics
Daniel Petrovich, Air Force Research Laboratory
Laser Vibrometry is an exciting new sensor technology that promises to improve automatic target recognition (ATR) performance. Sensors such as Micro-Laser Interferometer Doppler (MLID) measure minute vibrations on the surface of an object from a large standoff distance. In this paper, we demonstrate a baseline ATR algorithm designed for vibrometry data that can reliably recognize military vehicles when trained and tested on similar operating conditions.
Citation:
Mark R. Stevens, Magnús Snorrason, Daniel Petrovich, "Identifying Vehicles Using Vibrometry Signatures," icpr, vol. 3, pp.30253, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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