Title :
Identifying vehicles using vibrometry signatures
Author :
Stevens, Mark R. ; Snorrason, Magnús ; Petrovich, Daniel
Abstract :
Laser vibrometry is an exciting new sensor technology that promises to improve automatic target recognition (ATR) performance. Sensors, such as micro-laser interferometer Doppler, measure minute vibrations on the surface of an object from a large stand-off distance. In this paper, we demonstrate a baseline ATR algorithm designed for vibrometry data that can reliably recognise military vehicles when trained and tested on similar operating conditions.
Keywords :
feature extraction; measurement by laser beam; object recognition; pattern classification; vibration measurement; automatic target recognition; feature extraction; laser vibrometry; micro-laser interferometer Doppler; military ground vehicles; pattern classification; sensor; vibration spectral signature; Algorithm design and analysis; Automatic speech recognition; Engines; Feature extraction; Pulse measurements; Sensor phenomena and characterization; Shape measurement; Target recognition; Temperature sensors; Vehicles;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1047842
