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.
Towards onboard thermal hotspots segmentation with raw multispectral satel- lite imagery.International Journal of Applied Earth Obser- vation and Geoinformation, 146:105095, 2026
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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.