Real time muon tomography imaging simulation and fast threat target identification

Jaenisch, Holger M., Handley, James W., Jaenischa , Kristina L., and Albrittone, Nathaniel G. (2009) Real time muon tomography imaging simulation and fast threat target identification. In: Proceedings of SPIE - The International Society for Optical Engineering (7310). From: SPIE 2009 - The International Society for Optical Engineering, 14 April 2009, Orlando, Florida, USA.

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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.

Item ID: 11541
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: Bi-spectrum; CAT; Cellular automata; Change detection; Data modeling; Game of life; MRI; Muon imaging; NMR; Shape recognition; Tomography; Tri-spectrum
ISBN: 978-0-8194-7576-3
ISSN: 0277-786X
Date Deposited: 16 Jun 2010 03:23
FoR Codes: 02 PHYSICAL SCIENCES > 0201 Astronomical and Space Sciences > 020108 Planetary Science (excl Extraterrestrial Geology) @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 100%
Citation Count from Scopus Scopus 1
Downloads: Total: 2
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