28 July 1997 Using boundary methods as ordering indices on ATR feature sets
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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.
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William E. Pierson, William E. Pierson, Batuhan Ulug, Batuhan Ulug, Stanley C. Ahalt, Stanley C. Ahalt, Jose Luis Sancho, Jose Luis Sancho, Anibal R. Figueiras-Vidal, Anibal R. Figueiras-Vidal, } "Using boundary methods as ordering indices on ATR feature sets", Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); doi: 10.1117/12.281554; https://doi.org/10.1117/12.281554
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