16 April 2008 Photon-counting passive 3D image sensing and processing for automatic target recognition
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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.
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Seokwon Yeom, Seokwon Yeom, Bahram Javidi, Bahram Javidi, Edward Watson, Edward Watson, } "Photon-counting passive 3D image sensing and processing for automatic target recognition", Proc. SPIE 6963, Unattended Ground, Sea, and Air Sensor Technologies and Applications X, 696303 (16 April 2008); doi: 10.1117/12.782748; https://doi.org/10.1117/12.782748
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