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Proceedings Paper

Feature fusion of detection systems via their ROC functions
Author(s): Mark E. Oxley; James A. Fitch; Christine M. Schubert Kabban
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Paper Abstract

A detection system outputs two distinct labels. Thus, there are two errors it can make. The Receiver Operating Characteristic (ROC) function quantifies both of these errors as parameters vary within the system. Combining two detection systems typically yields better performance when a combination rule is chosen appropriately. When multiple detection systems are combined, the assumption of independence is usually made in order to mathematically combine the individual ROC functions for each system into one ROC function. This paper investigates feature fusion of multiple detection systems. Given that one knows the ROC function for each individual detection system, we seek a formula with the resultant ROC function of the fused detection systems as a function (specifically, a transformation) of the respective ROC functions. In this paper we derive this transformation for a certain class of feature rules. An example will be given that demonstrates this transformation.

Paper Details

Date Published: 17 May 2012
PDF: 10 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839213 (17 May 2012); doi: 10.1117/12.920353
Show Author Affiliations
Mark E. Oxley, Air Force Institute of Technology (United States)
James A. Fitch, Air Force Institute of Technology (United States)
Christine M. Schubert Kabban, Air Force Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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