Fusion of Range and Luminance Data from Laser Radar Systems

Abstract

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 range/intensity 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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 07, 1993
Accession Number
ADA275608

Entities

People

  • Griff L. Bilbro

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Annealing
  • Bayesian Networks
  • Detectors
  • Image Restoration
  • Intensity
  • Laser Radar
  • Lasers
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Mean Field Theory
  • Optimization
  • Probability
  • Radar
  • Relaxation Time
  • Resonance
  • Sensor Fusion

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Directed Energy