3D sparse point reconstructions of atmospheric nuclear detonations

Authors

Robert C. Slaughter, Air Force Institute of Technology
John W. McClory, Air Force Institute of Technology
Daniel T. Schmitt, Air Force Institute of Technology
Matthew D. Sambora, Air Force Institute of Technology
Karl C. Walli, National Reconnaissance Office

Document Type

Conference Proceeding

Publication Date

10-14-2014

Abstract

Researchers at Lawrence Livermore National Laboratory (LLNL) have started digitizing technical films spanning the above ground atmospheric nuclear testing operations conducted by the United States from 1950 through the 1960s. This technical film test data represents unique information that can be use as a primary validation data source for nuclear effects codes that are used by national researchers for assessments on nuclear force management, nuclear detection and reporting, and nuclear forensics mission areas. Researchers at the Air Force Institute of Technology (AFIT) have begun employing modern digital image processing and computer vision techniques to exploit this data set and determine specific invariant features of the early dynamic fireball growth. The focus of this paper is to introduce the methodology used for three dimensional sparse reconstructions of nuclear fireballs. Also discussed are the the difficulties associated with the technique.

Comments

Copyright © 2015, IEEE.

This conference paper is available through subscription or purchase from the publisher, IEEE, using the DOI link below.

Author notes:

• Robert Slaughter was an AFIT PhD student at the time of this conference. (AFIT-ENP-DS-15-S-029, September 2015)
• Daniel Schmitt was enrolled in an AFIT PhD program at the time of this conference. (AFIT-ENG-DS-16-M-254, March 2016)

DOI

10.1109/AIPR.2014.7041938

Source Publication

2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014

Recommended Citation

R. C. Slaughter, J. W. McClory, D. T. Schmitt, M. D. Sambora and K. C. Walli, "3D sparse point reconstructions of atmospheric nuclear detonations," 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2014, pp. 1-9, doi: 10.1109/AIPR.2014.7041938.