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FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
March 26, 2024, 4:42 a.m. | Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar
cs.LG updates on arXiv.org arxiv.org
Abstract: Nanosatellite constellations equipped with sensors capturing large geographic regions provide unprecedented opportunities for Earth observation. As constellation sizes increase, network contention poses a downlink bottleneck. Orbital Edge Computing (OEC) leverages limited onboard compute resources to reduce transfer costs by processing the raw captures at the source. However, current solutions have limited practicability due to reliance on crude filtering methods or over-prioritizing particular downstream tasks.
This work presents FOOL, an OEC-native and task-agnostic feature compression method …
abstract arxiv compression compute computing constellation costs cs.cv cs.dc cs.lg cs.ni earth earth observation edge edge computing eess.iv feature network observation opportunities processing raw reduce resources satellite sensors transfer type
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