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Proceedings Paper

Improved ATR performance evaluation via mode seeking
Author(s): Arnold C. Williams
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Paper Abstract

Improved performance evaluation results for complex data sets, in the Bayes error estimation sense, are shown by first decomposing the data sets into approximately normal modes before input to the error estimator. More specifically, the utility of a particular nonparametric Bayes error estimator, the Parzen error estimator, is generalized to multimodal data sets by preprocessing the data through a mode seeker before input to the error estimator. The utility of the mode seeker and the Parzen error estimator for data analysis and performance evaluation is demonstrated on a field collected radar data set.

Paper Details

Date Published: 5 July 1995
PDF: 9 pages
Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213051
Show Author Affiliations
Arnold C. Williams, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 2484:
Signal Processing, Sensor Fusion, and Target Recognition IV
Ivan Kadar; Vibeke Libby, Editor(s)

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