Fusion of Range and Luminance Data from Laser Radar Systems
Final rept. 1 May 1990-30 Jul 1993
NORTH CAROLINA STATE UNIV AT RALEIGH DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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In this project, a technique was developed for computing the optimal description of some physical scene by using global optimization and Bayesian techniques to combine correlated outputs of diverse nonlinear sensors. Two laser rangeintensity imagers were considered, but the major application was to obtain the best known restorations of very noisy PD-, TI-, and T2-weighted Magnetic Resonance Images by fusing the information in all the input images.
- Lasers and Masers
- Active and Passive Radar Detection and Equipment