5 July 1995 Improved ATR performance evaluation via mode seeking
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnold C. Williams, Arnold C. Williams, } "Improved ATR performance evaluation via mode seeking", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213051; https://doi.org/10.1117/12.213051
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