Running convolutional and vision transformer models to detect wildfires, maritime traffic, and floods.
Deploying in-orbit data reduction in non-terrestrial environments requires solving fundamental physics constraints: path loss over 1000km distances, rapid carrier frequency shifts due to Doppler effects, and power-thermal limits of spaceborne hardware. The architecture provides deterministic mitigation strategies.
The protocol workflow for in-orbit data reduction coordinates physical layer signal acquisition with higher-layer transport resilience. By leveraging open-loop ephemeris calculations and adaptive retransmission timers, communication links maintain uninterrupted throughput across satellite handoffs.