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Proceedings Paper • Open Access

Photon counting three-dimensional passive sensing and object recognition

Paper Abstract

In this keynote address, we introduce three-dimensional (3D) passive sensing using photon counting integral imaging. We investigate both linear and nonlinear matched filtering for automatic target recognition (ATR). Significant benefits of the nonlinear matched filtering with 3D integral imaging are found for ATR with a low number of photons. The discrimination capability of our system is quantified in terms of discrimination ratio (DR), Fisher ratio (FR), and receiver operating characteristic (ROC) curves. Experimental and simulation results are presented.

Paper Details

Date Published: 11 May 2006
PDF: 8 pages
Proc. SPIE 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, 62010K (11 May 2006);
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Edward Watson, U.S. Air Force Research Labs. (United States)
Seokwon Yeom, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 6201:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V
Edward M. Carapezza, Editor(s)

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