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Proceedings Paper

Triggering imagery with unattended seismic/magnetic sensing for vehicle classification
Author(s): Ronald A. Knobler
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Paper Abstract

Acoustic sensing has traditionally been the preferred method for the detection and classification of ground vehicles. However, environmental conditions such as wind and rain pose a great challenge to prevent false detections and misclassifications. The recent work of McQ System Innovations has demonstrated the ability to successfully detect and classify vehicles with the fusion of seismic and magnetic sensing without false detections and only a small percentage of misclassifications. The algorithms developed were designed to detect single vehicles as well as vehicles in a convoy. Based on the classification of each vehicle, an imager can be triggered to find the best frame of the target, and store the image in onboard memory to send back to an operator display. The methodology of the algorithms designed for seismic/magnetic detection and classification of vehicles is shown, as well as results of testing the algorithms running in a remote sensor.

Paper Details

Date Published: 1 September 2004
PDF: 12 pages
Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); doi: 10.1117/12.544825
Show Author Affiliations
Ronald A. Knobler, McQ System Innovations, Inc. (United States)

Published in SPIE Proceedings Vol. 5417:
Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI
Edward M. Carapezza, Editor(s)

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