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Proceedings Paper

Estimating 3D orientation from 1D projections with applications to radar
Author(s): Keith J. Dillon; Bradley S. Denney; Rui J. P. de Figueiredo
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Paper Abstract

We focus on the specific problem of inversion of a collection of one-dimensional projections to reconstruct a three-dimensional image of a rigid body and estimate its orientation. We assume correspondence of the points in the projections is given and derive several useful results leading to an iterative solution algorithm and a fundamental understanding of its possible scope. Finally, the algorithm was simulated on synthetic HRR data which verified its function and convergence.

Paper Details

Date Published: 12 September 2003
PDF: 8 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.487500
Show Author Affiliations
Keith J. Dillon, Neural Computing Systems (United States)
Bradley S. Denney, Neural Computing Systems (United States)
Rui J. P. de Figueiredo, Neural Computing Systems (United States)

Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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