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An Energy-Aware Onboard Edge Intelligence Framework for Small Satellite Earth Observation
ID：40 View protection：Participant Only Updated time：2026-10-04 23:23:11 Views：15 Online

Start Time：2026-10-13 11:15

Duration：15min

Session：[S5] Track 5: Emerging Trends of AI/ML [S5-6] Track 5: Emerging Trends of AI/ML

Slide
Abstract
Small​‍​‌‍​‍‌ satellites and Earth observation missions are producing more image data as the time goes on, without their onboard power, storage and computing capability as well as satellite-to-ground communication keeping up. Because of this, it is often not worthwhile for missions to send all collected data down to the ground station where it must be processed anyway. In this paper, we propose an energy-aware onboard edge intelligence framework to conduct image analysis in a lightweight fashion directly on the satellite as well as prioritize observations before transmitting. High-value observations are first transmitted at a higher quality whereas the lower-priority data may be either compressed or stored and transmitted later. When selecting the tasks, the framework takes into account not only the image significance but also the onboard processing, communication energy, and the link availability. Simulation results show that our approach can decrease the data amount from 5.80 to 2.85 GB as well as the consumption of energy from 21.4 Wh to 14.2 Wh with the classification accuracy staying at a remarkable 93.1% level. Thus it is seen that the integration of on-the-fly processing on the board and priority-based scheduling can significantly enhance the efficiency of small-satellite Earth observation systems in a practical ​‍​‌‍​‍‌manner.
 
Keywords
Space Technologies,Satelite Systems,Predictive Machine Learning
Speaker
Phani Monogya Katikireddi
Citizens bank

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Important Dates

  • Conference date

    10-11

    2026

    -

    10-14

    2026

  • 12-30 2025

    Presentation submission deadline

  • 09-28 2026

    Early Bird Registration

  • 10-14 2026

    Draft paper submission deadline

  • 10-15 2026

    Registration deadline

Sponsored By

United Societies of Science

Organized By

Posts and Telecommunications Institute of Technology

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