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Proceedings Paper

Multicriterion vehicle pose estimation for SAR ATR
Author(s): Liviu I. Voicu; Ronald Patton; Harley R. Myler
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Paper Abstract

Many approaches to target recognition on SAR images employ model-based techniques. These systems incorporate computationally intensive operations such as large database probing or complex 3D renderings that are used to produce simulations that are compared against unknown targets. These operations would achieve a significant improvement in speed performance if the target poses were known in advance. A study that addresses the problem of estimating the poses of vehicles in SAR images is reported in this paper. A pose estimation algorithm suite is proposed that is based on a set of partially independent criteria. A statistical analysis of the performance obtained by employing the established criteria, both individually and in combination, is also conducted and the results are comparatively discussed.

Paper Details

Date Published: 13 August 1999
PDF: 10 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357666
Show Author Affiliations
Liviu I. Voicu, I-Math Associates, Inc. (United States)
Ronald Patton, I-Math Associates, Inc. (United States)
Harley R. Myler, I-Math Associates, Inc. (United States)

Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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