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Proceedings Paper

Automatic target recognition of 3D objects under photon starved condition using advanced correlation filters
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Paper Abstract

In this paper, an overview of automatic target recognition for three-dimensional (3D) passive photon counting integral imaging system using maximum average correlation height filters is presented. Poisson distribution is adapted for generation photon counting images. For estimation of the 3D scene from photon counting images, maximum likelihood estimation is used. The advanced correlation filter is synthesized with ideal training images. Using this filter, we prove that automatic target recognition may be implemented under photon starved conditions. Since integral imaging may reduce the effect of occlusion and obscuration, the advanced correlation filter may detect and recognize a 3D object under photon starved environment. To demonstrate the ability of 3D photon counting automatic target recognition, experimental results are presented.

Paper Details

Date Published: 10 May 2012
PDF: 8 pages
Proc. SPIE 8384, Three-Dimensional Imaging, Visualization, and Display 2012, 83840P (10 May 2012); doi: 10.1117/12.920496
Show Author Affiliations
Myungjin Cho, Univ. of Connecticut (United States)
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 8384:
Three-Dimensional Imaging, Visualization, and Display 2012
Bahram Javidi; Jung-Young Son, Editor(s)

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