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Proceedings Paper

Image-based aircraft pose estimation using moment invariants
Author(s): Marcel G. J. Breuers
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Paper Abstract

The problem of estimating aircraft pose information from mono- ocular image data is considered using two different pose estimation algorithms. Both algorithms are based on the rotation invariant moment approach that was introduced by Dudani. The dependence of pose estimation accuracy on image resolution and aspect angle was investigated through simulations using sets of synthetic aircraft images. It is shown that increased pose-estimation accuracy can be obtained by breaking the nearest neighbor search procedure in two parts.

Paper Details

Date Published: 24 August 1999
PDF: 11 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359963
Show Author Affiliations
Marcel G. J. Breuers, TNO Physics and Electronics Lab. (Netherlands)

Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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