PANN achieves MCC 0.809 on raw Sentinel-2 L0 data for thermal anomaly detection with 2.44s latency per granule, below the 3.6s acquisition time, and projects even faster neuromorphic hardware performance.
Online dy- namical learning and sequence memory with neuromorphic nanowire networks.Nature Communications, 14(1):6697
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Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data
PANN achieves MCC 0.809 on raw Sentinel-2 L0 data for thermal anomaly detection with 2.44s latency per granule, below the 3.6s acquisition time, and projects even faster neuromorphic hardware performance.