Abstract
The increasing amount of data produced by sensors, combined with low download rates, are a challenge for nanosatellites. On-board data processing and classification can be used to reduce the amount of data that needs to be downloaded. This edge computing approach has become more and more present in various terrestrial applications and embedded devices. Recent missions have used artificial intelligence (AI) models, pre-trained on the ground, for on-board image analysis. The SONATE-2 mission expands on this approach by also introducing on-board training capabilities, enabling new applications including on-board model generation and improvement.
Users
Please
log in to take part in the discussion (add own reviews or comments).