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Proceedings Paper

Using compressive imaging as a fast class formation method in automatic target acquisition
Author(s): Charles F. Hester; Kelly K. Dobson
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Paper Abstract

Subspace projection is an effective and established way to form classes in the Automatic Target Acquisition (ATA) problem. Class subspace formation is viewed in this paper as an over specified F h = u problem. Recent advances in compressive imaging show that this problem can be solved for sparse matrices via iterative techniques. Convergence of these techniques is aided by a metric induced by an appropriately selected norm. In this paper we will use infrared data to show this rapid class formation and to compare convergence for two norms. Based on this class formulation a new method for ATA solution will also be demonstrated.

Paper Details

Date Published: 13 May 2010
PDF: 12 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960P (13 May 2010); doi: 10.1117/12.849717
Show Author Affiliations
Charles F. Hester, U.S. Army Aviation and Missile Research, Development and Engineering Ctr. (United States)
Kelly K. Dobson, U.S. Army Aviation and Missile Research, Development and Engineering Ctr. (United States)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

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