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Proceedings Paper

An expectation maximization solution for fusing 2D and 3D ladar data
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Paper Abstract

LADAR (LAser Detection and Ranging) systems can be used to provide 2-D and 3-D images of scenes. Generally, 2-D images possess superior spatial resolution without range data due to the density of their focal plane arrays. A 3-D LADAR system can produce range to target data at each pixel, but lacks the 2-D system's superior spatial resolution. It is the goal of this work to develop an algorithm using an Expectation Maximization approach for fusing 2-D and 3-D LADAR data. The algorithm developed demonstrates both spatial and range resolution improvement using simulated 2-D and 3-D LADAR data.

Paper Details

Date Published: 7 February 2011
PDF: 8 pages
Proc. SPIE 7873, Computational Imaging IX, 78730W (7 February 2011); doi: 10.1117/12.871794
Show Author Affiliations
Paul F. Dolce, Air Force Institute of Technology (United States)
Stephen C. Cain, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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