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Proceedings Paper

Multiresolution target discrimination during image formation
Author(s): Lance M. Kaplan; Seung-Mok Oh; James H. McClellan
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Paper Abstract

This paper presents a novel scheme to detect and discriminate landmines from other clutter objects during the image formation process for ultra-wideband (UWB) synthetic aperture radar (SAR) systems. By identifying likely regions containing the targets of interest, i.e., landmines, it is possible to speed up the overall formation time by pruning the processing to resolve regions that do not contain targets. The image formation algorithm is a multiscale approximation to standard backprojection known as the quadtree that uses a 'divide-and- conquer' strategy. The intermediate quadtree data admits multiresolution representations of the scene, and we develop a contrast statistic to discriminate structured/diffuse regions and an aperture diversity statistic to discriminate between regions containing mines and desert scrub. The potential advantages of this technique are illustrated using data collected at Yuma, AZ by the ARL BoomSAR system.

Paper Details

Date Published: 24 August 2000
PDF: 12 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396336
Show Author Affiliations
Lance M. Kaplan, Clark Atlanta Univ. (United States)
Seung-Mok Oh, Georgia Institute of Technology (United States)
James H. McClellan, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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