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Proceedings Paper

Synchronous radiation sensing and 3D urban mapping for improved source identification
Author(s): Gordon Christie; L. Justin Stiltner; Kevin Kochersberger; Morgan McLean; Wojtek Czaja
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Paper Abstract

The acquisition of synchronous EO imagery and gamma radiation data in aerial overflights of an unmanned aircraft can provide valuable spatial context for radioactive source mapping. Using image-based 3D reconstruction methods, a terrain map can be generated and used to reason about more likely radiation source locations. For instance, vehicles may be likely hiding places for nuclear materials, so a source model with assigned probability is used at the vehicle to reduce the overall uncertainty in position estimation. Environment reconstructions based on EO imagery with a mapped gamma radiation overlay provide intrinsic correlations between the datasets. Using radioactive material dispersion models or point source models, the derived correlations serve to enhance coarse gamma radiation data. The use of autonomous unmanned aircraft provide a valuable tool in acquiring these data as they are capable of accurate and repeatable position control while eliminating exposure danger to the operators. In this experiment, two sources (.084 Ci 137Ce and .00048 Ci 133Ba) were distributed in a field with varying terrain and a scan was conducted using the Virginia Tech Yamaha RMAX autonomous helicopter equipped with a two-camera imaging system and a NaI scintillation-type spectrometer. Terrain reconstruction was conducted using both structure from motion (SfM) and stereo vision techniques, and radiation data synchronized to the imagery was overlaid.

Paper Details

Date Published: 22 May 2014
PDF: 8 pages
Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210A (22 May 2014); doi: 10.1117/12.2049883
Show Author Affiliations
Gordon Christie, Virginia Polytechnic Institute and State Univ. (United States)
L. Justin Stiltner, Virginia Polytechnic Institute and State Univ. (United States)
Kevin Kochersberger, Virginia Polytechnic Institute and State Univ. (United States)
Morgan McLean, Remote Sensing Lab. (United States)
Wojtek Czaja, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 9121:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014
Jerome J. Braun, Editor(s)

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