Estimating radiological background using imaging spectroscopy

Bruce Bernacki; John E. Schweppe; Sean Stave; David Jordan; Jonathan Kulisek; Trevor Stewart; Carolyn Seifert

doi:10.1117/12.2051049

13 June 2014 Estimating radiological background using imaging spectroscopy

Bruce Bernacki, John E. Schweppe, Sean Stave, David Jordan, Jonathan Kulisek, Trevor Stewart, Carolyn Seifert

Proceedings Volume 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX; 90880L (2014) https://doi.org/10.1117/12.2051049
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global ⁴⁰K, ²³⁸U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km - 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRlS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.

Citation Download Citation

Bruce Bernacki, John E. Schweppe, Sean Stave, David Jordan, Jonathan Kulisek, Trevor Stewart, and Carolyn Seifert "Estimating radiological background using imaging spectroscopy", Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90880L (13 June 2014); https://doi.org/10.1117/12.2051049

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