9 July 1992 Bayesian approach to multisensor data fusion
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Multisensor data fusion is concerned with the integration and extraction of information from data obtained from two or more sources. Assuming the data are contaminated with noise, we present the necessary definitions and concepts to formulate multisensor data fusion as a problem of inference; specifically, we show in general and in a simple example how to assign probabilities for hypotheses expressed as propositions when data from two sources supply information relevant to the hypotheses. The example is concerned with target identification with a pulsed radar and a continuous-wave radar.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles Ray Smith, Charles Ray Smith, "Bayesian approach to multisensor data fusion", Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); doi: 10.1117/12.138237; https://doi.org/10.1117/12.138237


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