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Proceedings Paper

Photon-counting passive 3D image sensing and processing for automatic target recognition
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Paper Abstract

In this paper we overview the nonlinear matched filtering for photon counting recognition with 3D passive sensing. The first and second order statistical properties of the nonlinear matched filtering can improve the recognition performance compared to the linear matched filtering. Automatic target reconstruction and recognition are addressed for partially occluded objects. The recognition performance is shown to be improved significantly in the reconstruction space. The discrimination capability is analyzed in terms of Fisher ratio (FR) and receiver operating characteristic (ROC) curves.

Paper Details

Date Published: 16 April 2008
PDF: 6 pages
Proc. SPIE 6963, Unattended Ground, Sea, and Air Sensor Technologies and Applications X, 696303 (16 April 2008); doi: 10.1117/12.782748
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (South Korea)
Bahram Javidi, Univ. of Connecticut (United States)
Edward Watson, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6963:
Unattended Ground, Sea, and Air Sensor Technologies and Applications X
Edward M. Carapezza, Editor(s)

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