Synchronous radiation sensing and 3D urban mapping for improved source identification

Gordon Christie; L. Justin Stiltner; Kevin Kochersberger; Morgan McLean; Wojtek Czaja

doi:10.1117/12.2049883

22 May 2014 Synchronous radiation sensing and 3D urban mapping for improved source identification

Gordon Christie, L. Justin Stiltner, Kevin Kochersberger, Morgan McLean, Wojtek Czaja

Proceedings Volume 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014; 91210A (2014) https://doi.org/10.1117/12.2049883
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Gordon Christie, L. Justin Stiltner, Kevin Kochersberger, Morgan McLean, and Wojtek Czaja "Synchronous radiation sensing and 3D urban mapping for improved source identification", Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210A (22 May 2014); https://doi.org/10.1117/12.2049883

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