Predicting sensor fusion performance using theoretical models

Brian A. Baertlein; Wen-Jiao Liao; De-Hui Chen

doi:10.1117/12.445432

18 October 2001 Predicting sensor fusion performance using theoretical models

Brian A. Baertlein, Wen-Jiao Liao, De-Hui Chen

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445432
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Simple theoretical models can be constructed to study the behavior of sensor-fused systems using idealized sensor suites. Models are available for feature-level and decision-level fusion, both of which are now being used with demining sensors. These models are attractive as design tools and for estimating the expected performance of new sensor suites, since their performance can be evaluated with relatively little effort. In this paper we review some simple idealized models and their predictions for fused system performance. The data produced by demining sensors are often correlated, and the effect of correlation is explored for both feature-level and decision-level fusion.

Citation Download Citation

Brian A. Baertlein, Wen-Jiao Liao, and De-Hui Chen "Predicting sensor fusion performance using theoretical models", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445432

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