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Proceedings Paper

Automated target morphing applied to objects in cluttered backgrounds
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Paper Abstract

We describe an automated target tracking algorithm which is based on a linear spectral estimation technique, termed the PDFT algorithm. Typically, the PDFT algorithm is applied to obtain high resolution images from scattered field data by incorporating prior information about the target shape into the reconstruction process. In this investigation, the algorithm is used iteratively for determining the target location and a target signature which can be used as the input to an automated target recognition systems. The implementation and the evaluation of the algorithm is discussed in the context of low resolution imaging systems with special reference to foliage penetration radar and ground penetrating radar.

Paper Details

Date Published: 23 December 2002
PDF: 12 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.451793
Show Author Affiliations
Markus E. Testorf, Univ. of Massachusetts Lowell (United States)
Andrey V. Semichaevsky, Univ. of Massachusetts Lowell (United States)
Robert V. McGahan, Air Force Research Lab. (United States)
Michael A. Fiddy, Univ. of North Carolina at Charlotte (United States)

Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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