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.
Shine, Adrian Diaz-Alvarez, Adam Stieg, James Gimzewski, and Tomonobu Nakayama
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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.