CNN on multi-channel waterfall spectrograms from gamma-ray data outperforms NMF on the RADAI benchmark for detection, classification, and identification at false positive rates below one per hour.
Gomez-Fernandez, W
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2026 1verdicts
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Computer vision-based neural networks for radioisotope identification in urban environments
CNN on multi-channel waterfall spectrograms from gamma-ray data outperforms NMF on the RADAI benchmark for detection, classification, and identification at false positive rates below one per hour.