Improvement of SNM Detection Performance by Fusion of Data From Multiple Inspection Systems

Improvement of SNM Detection Performance by Fusion of Data From Multiple Inspection Systems

Data fusion has the potential to improve the performance of multiple systems over algorithms involving only Boolean combinations of decisions from the separate systems. To achieve this improvement, it is essential to utilize the complementary aspects of the systems involved. In this paper, we demons...

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Veröffentlicht in:IEEE transactions on nuclear science 2009-06, Vol.56 (3), p.939-943
Hauptverfasser: Shaw, T.J., Strellis, D.A., Keeley, D., Yee, R., Gozani, T.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Capture (nuclear)
Contraband detection
Data fusion
Data integration
Gamma ray detection
Gamma ray detectors
Gamma ray spectroscopy
Inspection
Neutrons
Nuclear fusion
Performance analysis
radiation detectors
Radiography
SNM detection
Spectroscopy
Throughput
X-ray detection
X-ray detectors
X-ray radiography
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Zusammenfassung:Data fusion has the potential to improve the performance of multiple systems over algorithms involving only Boolean combinations of decisions from the separate systems. To achieve this improvement, it is essential to utilize the complementary aspects of the systems involved. In this paper, we demonstrate that data fusion of x-ray radiography and neutron capture gamma ray spectroscopy provide complementary data to differential die away analysis, and thereby a substantial improvement in both detection performance and throughput.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2008.2011806