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Proceedings Paper

Target classification using spatially flexible directed pursuits
Author(s): Andrew McKellips; Mark R. McClure; Michael Chu; Randy K. Avent
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Paper Abstract

There has been much attention given to the characterization of canonical scattering phenomena in complex synthetic aperture radar (SAR) imagery for the purpose of classification. These features are often extracted using greedy algorithms, such as Matching Pursuits, which attempt to extract a low-dimensional representation of a given SAR image using a prescribed feature dictionary. As results to date have been predominantly anecdotal in nature, it is of interest to assess the utility of these techniques in full automated target classification applications. In this investigation, we will focus on the potential incorporation of such techniques into automatic target recognition (ATR) systems. The primary issues addressed in this paper include robust feature extraction techniques and the development of effective likelihood-of-match metrics operating in feature space. A specific implementation is presented where robust feature extraction is achieved via a new technique called Directed Pursuits. Directed Pursuits constitutes a feature extraction process from a test image driven by a feature decomposition previously obtained via Matching Pursuits from a training image. Directed Pursuits additionally allows for spatial flexibility in the test extraction process, representative of natural intra-class variations exhibited by real target classes. Likelihood metrics will be motivated and described, and associated results presented and interpreted in the context of both airborne and compact range X-band SAR data.

Paper Details

Date Published: 17 August 2000
PDF: 17 pages
Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); doi: 10.1117/12.395588
Show Author Affiliations
Andrew McKellips, MIT Lincoln Lab. (United States)
Mark R. McClure, MIT Lincoln Lab. (United States)
Michael Chu, Massachusetts Institute of Technology (United States)
Randy K. Avent, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 4050:
Automatic Target Recognition X
Firooz A. Sadjadi, Editor(s)

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