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

Paul F. Dolce; Stephen C. Cain

doi:10.1117/12.871794

7 February 2011 An expectation maximization solution for fusing 2D and 3D ladar data

Paul F. Dolce, Stephen C. Cain

Proceedings Volume 7873, Computational Imaging IX; 78730W (2011) https://doi.org/10.1117/12.871794
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Paul F. Dolce and Stephen C. Cain "An expectation maximization solution for fusing 2D and 3D ladar data", Proc. SPIE 7873, Computational Imaging IX, 78730W (7 February 2011); https://doi.org/10.1117/12.871794

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