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Proceedings Paper

Using boundary methods as ordering indices on ATR feature sets
Author(s): William E. Pierson; Batuhan Ulug; Stanley C. Ahalt; Jose Luis Sancho; Anibal R. Figueiras-Vidal
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Paper Abstract

We show how boundary methods, a collection of tools used for distribution analysis, can be used to rank order ATR feature sets. Using boundary methods, we can establish which feature set is most appropriate for classification. We demonstrate experimentally that the derived ranking is consistent with alternative ranking techniques based on Bayes error. However, the use of boundary methods does not require extensive Monte-Carlo simulations and is not predicted on the assumption that the data is normally distributed.

Paper Details

Date Published: 28 July 1997
PDF: 12 pages
Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); doi: 10.1117/12.281554
Show Author Affiliations
William E. Pierson, The Ohio State Univ. (United States)
Batuhan Ulug, The Ohio State Univ. (United States)
Stanley C. Ahalt, The Ohio State Univ. (United States)
Jose Luis Sancho, Univ. Politecnica de Madrid (Spain)
Anibal R. Figueiras-Vidal, Univ. Politecnica de Madrid (Spain)

Published in SPIE Proceedings Vol. 3070:
Algorithms for Synthetic Aperture Radar Imagery IV
Edmund G. Zelnio, Editor(s)

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