Muon imaging and data modeling

Holger M. Jaenisch; James W. Handley; Michael L. Hicklen; David C. Vineyard; Michael D. Ramage; James M. Colthart

doi:10.1117/12.741581

4 May 2007 Muon imaging and data modeling

Holger M. Jaenisch, James W. Handley, Michael L. Hicklen, David C. Vineyard, Michael D. Ramage, James M. Colthart

Proceedings Volume 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI; 65380G (2007) https://doi.org/10.1117/12.741581
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper describes our novel capability for analyzing voxel data such as muon images to detect potential threat objects and then to further discriminate them by shape. This is done with Change Detection using Data Modeling. These methods minimize long exposure requirements previously reported in the literature. This paper summarizes our algorithm and provides example results.

Citation Download Citation

Holger M. Jaenisch, James W. Handley, Michael L. Hicklen, David C. Vineyard, Michael D. Ramage, and James M. Colthart "Muon imaging and data modeling", Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65380G (4 May 2007); https://doi.org/10.1117/12.741581

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