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Proceedings Paper

Target acquisition in three-dimensional data
Author(s): David W. Webster; Eran Marcus; David M. Doria
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Paper Abstract

We describe a method of acquiring ground vehicles in cluttered environments by making use of three dimensional geometrical features. Our approach exploits a wide spectrum of shape and structure attributes to achieve very high performance target detection and scene interpretation capabilities. The system we present begins with extraction of terrain from an observed scene, and proceeds to cluster the remaining points into macroscopic objects. These objects are then subjected to a series of tests that use textural and structural measures at multiple scales to discriminate targets from natural and manmade clutter. We present experimental results on a new set of synthetic three-dimensional data, demonstrating excellent target detection and false alarm suppression performance.

Paper Details

Date Published: 16 September 2003
PDF: 9 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.487408
Show Author Affiliations
David W. Webster, Raytheon Space and Airborne Systems (United States)
Eran Marcus, Raytheon Space and Airborne Systems (United States)
David M. Doria, Raytheon Space and Airborne Systems (United States)

Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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