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Proceedings Paper

Characterization of articulated vehicles using ladar seekers
Author(s): Michael R. Wellfare; Karen Norris-Zachery
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Paper Abstract

Many vehicle targets of interest to military automatic target recognition (ATR) possess articulating components: that is, they have components that change position relative to the main body. Many vehicles also have multiple configurations wherein one or more devices or objects may be added to enhance specific military or logistical capabilities. As the expected target set for military ATR becomes more comprehensive, many additional articulations and optional components must be handled. Mobile air defense units often include moving radar antennae as well as turreted guns and missile launchers. Surface-to-surface missile launchers may be encountered with or without missiles, and with the launch rails raised or lowered. Engineers and countermine vehicles have a tremendous number of possible configurations and even conventional battle tanks may very items such as external reactive armor, long- range tanks, turret azimuth, and gun elevation. These changes pose a significant barrier to the target identification process since they greatly increase the range of possible target signatures. When combined with variations already encountered due to target aspect changes, an extremely large number of possible signatures is formed. Conventional algorithms cannot process so many possibilities effectively, so in response, the matching process is often made less selective. This degrades identification performance, increase false alarm rates, and increases data requirements for algorithm testing and training. By explicitly involving articulation in the detection and identification stages of an ATR algorithm, more precise matching constraints can be applied, and better selectivity can be achieve. Additional benefits include the measurement of the position and orientation of articulated components, which often has tactical significance. In this paper, the result of a study investigating the impact of target articulation in ATR for military vehicles are presented. 3D ladar signature data is used. An algorithmic solution is proposed and directions for further research are noted.

Paper Details

Date Published: 6 August 1997
PDF: 11 pages
Proc. SPIE 3065, Laser Radar Technology and Applications II, (6 August 1997); doi: 10.1117/12.281016
Show Author Affiliations
Michael R. Wellfare, Nichols Research Corp. (United States)
Karen Norris-Zachery, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 3065:
Laser Radar Technology and Applications II
Gary W. Kamerman, Editor(s)

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