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Proceedings Paper

Precise estimation of pose for vehicles in MSTAR imagery
Author(s): Frank McFadden
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Paper Abstract

A new algorithm for pose estimation of vehicles in SAR imagery is presented. Using robust features and a structured decision process, the algorithm achieves high precision. Four neural networks are used to make estimates conditional on angular regions, and another neural network is used to fuse these estimates. For the MSTAR Test Sample, the absolute error has a mean of 2 degrees with a standard deviation of 2.1, which is significantly more precise than previously reported results.

Paper Details

Date Published: 7 May 2007
PDF: 5 pages
Proc. SPIE 6566, Automatic Target Recognition XVII, 65660V (7 May 2007); doi: 10.1117/12.718140
Show Author Affiliations
Frank McFadden, General Dynamics Advanced Information Systems (United States)

Published in SPIE Proceedings Vol. 6566:
Automatic Target Recognition XVII
Firooz A. Sadjadi, Editor(s)

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