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Proceedings Paper

Identification of vehicle targets from low-cost ladar-seeker imagery
Author(s): Michael R. Wellfare; V. Todd Holmes; Scott Pohlman; Duane Geci; Karen Norris-Zachery; Ronald Patton
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Paper Abstract

Use of ladar seekers for autonomous vehicle identification and targeting from short range, expendable munitions is increasingly of interest due to the inherently high resolution shape data and the relatively low unit cost of the sensor. In addition, low-cost digital signal processors are now available that can manage the computational workload required for autonomous operation in a wide variety of tactical scenarios. A set of detection, segmentation, and vehicle identification algorithms have been developed which have been demonstrated on real and synthetic seeker data and have been targeted for the architecture and resources available on a tactically realistic processor. Results of preliminary algorithm testing are presented.

Paper Details

Date Published: 26 June 1996
PDF: 11 pages
Proc. SPIE 2748, Laser Radar Technology and Applications, (26 June 1996); doi: 10.1117/12.243558
Show Author Affiliations
Michael R. Wellfare, Nichols Research Corp. (United States)
V. Todd Holmes, Nichols Research Corp. (United States)
Scott Pohlman, Nichols Research Corp. (United States)
Duane Geci, Sverdrup Technology, Inc. (United States)
Karen Norris-Zachery, Air Force Wright Lab. (United States)
Ronald Patton, Nichols Research Corp. (United States)


Published in SPIE Proceedings Vol. 2748:
Laser Radar Technology and Applications
Gary W. Kamerman, Editor(s)

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