Paper
12 May 2006 Imaging cargo containers using gravity gradiometry
Barry Kirkendall, Yaoguo Li, Douglas Oldenburg
Author Affiliations +
Abstract
Identifying high-density fissile materials inside cargo shipping containers is a current national security need. We propose using the geophysical technique of gravity gradiometry to quickly and accurately image cargo containers to detect high-density materials. To obtain realistic images with sharp boundaries, robust estimators are applied to the model objective function of the inversion operator and coupled with a Huber norm to provide stable numerical computation. Assuming a realistic data acquisition pattern requiring a reasonable amount of time, we show it is possible to identify high-density materials with a volume of 15 cm3 Finally, we provide a recovered density threshold to suggest the presence of high-density materials from an arbitrary recovered density model.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barry Kirkendall, Yaoguo Li, and Douglas Oldenburg "Imaging cargo containers using gravity gradiometry", Proc. SPIE 6204, Photonics for Port and Harbor Security II, 620401 (12 May 2006); https://doi.org/10.1117/12.660979
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Sensors

Data acquisition

Plutonium

3D modeling

Geophysics

Algorithm development

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