Imaging for dismantlement verification: information management and analysis algorithms

Seifert, Allen ; Miller, Erin A. ; Myjak, Mitchell J. ; Robinson, Sean M. ; Jarman, Kenneth D. ; Misner, Alex C. ; Pitts, W. Karl ; Woodring, Mitchell L.

关键词: ALGORITHMS;    IMAGES;    CLASSIFIED INFORMATION;    SECRECY PROTECTION;    DATA ANALYSIS;    NUCLEAR WEAPONS DISMANTLEMENT;    VERIFICATION arms control;    information barrier;    tr;   

DOI  :  10.2172/1000169
RP-ID  :  PNNL-19824
PID  :  OSTI ID: 1000169
Others  :  TRN: US201101%%593

美国|英语

来源: SciTech Connect

【 摘 要 】

The level of detail discernible in imaging techniques has generally excluded them from consideration as verification tools in inspection regimes. An image will almost certainly contain highly sensitive information, and storing a comparison image will almost certainly violate a cardinal principle of information barriers: that no sensitive information be stored in the system. To overcome this problem, some features of the image might be reduced to a few parameters suitable for definition as an attribute. However, this process must be performed with care. Computing the perimeter, area, and intensity of an object, for example, might reveal sensitive information relating to shape, size, and material composition. This paper presents three analysis algorithms that reduce full image information to non-sensitive feature information. Ultimately, the algorithms are intended to provide only a yes/no response verifying the presence of features in the image. We evaluate the algorithms on both their technical performance in image analysis, and their application with and without an explicitly constructed information barrier. The underlying images can be highly detailed, since they are dynamically generated behind the information barrier. We consider the use of active (conventional) radiography alone and in tandem with passive (auto) radiography.