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Proceedings Paper

The effects of correlation on the performance of ATR systems
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Paper Abstract

The Receiver Operating Characteristic (ROC) curve is typically used to quantify the performance of Automatic Target Recognition (ATR) systems. When multiple systems are to be fused, assumptions are made in order to mathematically combine the individual ROC curves for each of these ATR systems in order to form the ROC curve of the fused system. Often, one of these assumptions is independence between the systems. However, correlation may exist between the classifiers, processors, sensors and the outcomes used to generate each ROC curve. This paper will demonstrate a method for creating a ROC curve of the fused systems which incorporates the correlation that exists between the individual systems. Specifically, we will use the derived covariance matrix between multiple systems to compute the existing correlation and level of dependence between pairs of systems. The ROC curve for the fused system is then produced, adjusting for this level of dependency, using a given fusion rule. We generate the formula for the Boolean OR and AND rules, giving the exact ROC curve for the fused system, that is, not a bound.

Paper Details

Date Published: 11 May 2009
PDF: 11 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360U (11 May 2009); doi: 10.1117/12.819281
Show Author Affiliations
Christine M. Schubert, Virginia Commonwealth Univ. (United States)
Steven N. Thorsen, U.S. Air Force Academy (United States)
Mark E. Oxley, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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