Paper
30 April 2009 Real time Muon tomography imaging simulation and fast threat target identification
Holger M. Jaenisch, James W. Handley, Kristina L. Jaenisch R.N., Nathaniel G. Albritton
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 1 scholarly publication and 4 patents.
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KEYWORDS
Muons

Data modeling

Target detection

Tomography

Computer simulations

Detection and tracking algorithms

Electromagnetic simulation

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