Laser Radar imagers can be designed to provide 2-D or 3-D images of scenes. The 2-D imagers generally possess superior spatial resolution while providing a rough estimate of the range to the target. Newly developed 3-D systems possess the ability to form images of the scene as well as range to every pixel in the scene. The spatial resolution of these systems is typically many times less than those of the 2-D systems. It is the goal of this work to present a statistical method for fusing 2-D and 3-D LADAR imagery. The method is used on simulated LADAR sensor data in order to demonstrate its potential for improving both the range resolution and spatial resolution over what could be achieved alone from either sensor.
Bayesian-based fusion of 2-D and 3-D LADAR imagery
2009-03-01
1249486 byte
Conference paper
Electronic Resource
English
Model-based fusion of FLIR, color, and ladar [2589-01]
British Library Conference Proceedings | 1995
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