11 May 2006 Photon counting three-dimensional passive sensing and object recognition
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Bahram Javidi, Edward Watson, Edward Watson, Seokwon Yeom, Seokwon Yeom, } "Photon counting three-dimensional passive sensing and object recognition", Proc. SPIE 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, 62010K (11 May 2006); doi: 10.1117/12.668055; https://doi.org/10.1117/12.668055

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