Paper
17 May 2006 Unified measures of target detection system performance evaluation
Author Affiliations +
Abstract
This research compares alternative performance metrics to those more commonly used in target detection system performance evaluation. The alternative performance metrics examined here include the Fisher ratio, a modification of the Dice similarity coefficient, and the Youden index. These metrics are compared to metrics that have been previously introduced for such target detection system performance evaluation: the receiver operating characteristic (ROC) curve (and the related summary area under the ROC curve (AUC) value), and the confidence error generation (CEG) curve (and the related summary root square deviation (RSD) value). The ROC curve is a discrimination metric that measures the ability of a target detection system to distinguish between target and non-target. The CEG curve quantifies detection system knowledge of its own performance. An approach is presented that combines such metrics; this combination may be dynamically adjusted and updated based on current and future evaluation requirements for particular target detection systems.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David R. Parker, Steven C. Gustafson, and Timothy D. Ross "Unified measures of target detection system performance evaluation", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370M (17 May 2006); https://doi.org/10.1117/12.665507
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Target detection

Solids

Receivers

Analytical research

Synthetic aperture radar

Statistical analysis

Automatic target recognition

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