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Proceedings Paper

Multispectral active-passive sensor fusion for ground-based target orientation estimation
Author(s): Joseph Kostakis; Matthew L. Cooper; Thomas J. Green; Michael I. Miller; Joseph A. O'Sullivan; Jeffrey H. Shapiro; Donald L. Snyder
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Paper Abstract

Our work focuses on pose estimation of ground-based targets viewed via multiple sensors including forward-looking infrared radar (FLIR) systems and laser radar (LADAR) range imagers. Data from these two sensors are simulated using CAD models for the targets of interest in conjunction with Silicon Graphics workstations, the PRISM infrared simulation package, and the statistical model for LADAR described by Green Shapiro. Using a Bayesian estimation framework, we quantitatively examine both pose-dependent variations in performance, and the relative performance of the aforementioned sensors when their data is used separately or optimally fused together. Using the Hilbert-Schmidt norm as an error metric, the minimum mean squared error (MMSE) estimator is reviewed and its mean squared error (MSE) performance analysis is presented. Results of simulations are presented and discussed.

Paper Details

Date Published: 18 September 1998
PDF: 8 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323868
Show Author Affiliations
Joseph Kostakis, Washington Univ. and Army Ctr. for Imaging Science (United States)
Matthew L. Cooper, Washington Univ. and Army Ctr. for Imaging Science (United States)
Thomas J. Green, MIT Lincoln Lab. and Army Ctr. for Imaging Science (United States)
Michael I. Miller, Washington Univ. and Army Ctr. for Imaging Science (United States)
Joseph A. O'Sullivan, Washington Univ. and Army Ctr. for Imaging Science (United States)
Jeffrey H. Shapiro, Massachusetts Institute of Technology (United States)
Donald L. Snyder, Washington Univ. and Army Ctr. for Imaging Science (United States)


Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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