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.
Wildfire and prescribed burning impacts on air quality in the united states.Journal of the Air & Waste Management Association, 70(6):583–615, 2020
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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.