Target conditioning: a practical multisensor fusion tool

Rufus H. Cofer; Samuel Peter Kozaitis

doi:10.1117/12.155081

3 September 1993 Target conditioning: a practical multisensor fusion tool

Proceedings Volume 1956, Sensor Fusion and Aerospace Applications; (1993) https://doi.org/10.1117/12.155081
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Often one is interested in multisensor fusion to enhance the recognition of critical targets -- even though in isolation none of the sensors can supply sufficient information for detection. To recognize under such adverse conditions will require the best of techniques, e.g., Bayesian. Previously through careful target and sensor phenomenological modeling, we have overcome the main objection to single sensor Bayesian automatic target detection, i.e., the rigorous development of the necessary target probabilities. In this paper we show that one can further use a process of conditioning on target and sensor phenomenology to conditionally decouple the sensors. Optimal fusion will then proceed simply by combining the conditionally independent target probabilities arising from the individual sensors.

Citation Download Citation

Rufus H. Cofer and Samuel Peter Kozaitis "Target conditioning: a practical multisensor fusion tool", Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); https://doi.org/10.1117/12.155081

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