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30 April 2009 Real time Muon tomography imaging simulation and fast threat target identification
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Abstract
We present a simple and efficient muon tomography simulation based on Data Modeling and a fast method for real-time threat target identification in obscured environments. Our approach introduces a fast form of statistical characterization in conjunction with equation based Data Models that makes the use of median calculation and Point of Closest Approach (POCA) reconstruction unnecessary. Our method enables accurate medium to high Z multi-target identification without background subtraction and in less than 10 seconds total processing time. Our method is general and applies to other volumetric/voxel processing as well.
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Holger M. Jaenisch, James W. Handley, Kristina L. Jaenisch R.N., and Nathaniel G. Albritton "Real time Muon tomography imaging simulation and fast threat target identification", Proc. SPIE 7310, Non-Intrusive Inspection Technologies II, 73100B (30 April 2009); https://doi.org/10.1117/12.817835
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