Optimizing Uncertainty in Dempster-Shafer Detectors Fusing Multi-Sensor Data
Kenneth I. Ranney, Nasser M. Nasrabadi · Defense Technical Information Center (DTIC) · 2009
Fusion algorithms based on the Dempster-Shafer (DS) Theory of Evidence lack a universally standard method for automatically assigning probability mass to the "don't know" hypothesis for a particular input. For example, when fusing automatic target detection (ATD) algorithm outputs from multiple sensors, one must associate a measure of uncertainty with the output from the ATD algorithm of each sensor. We describe such a fusion algorithm, developed using the DS formalism, and present a method for automatically determining the required assignment of uncertainty. We also evaluate the entire procedure using simulated data and receiver operating characteristic curves.