An edge-agent system on a COTS ARM SoC repeatedly completed two fixed FAIR1M detection workflows 20/20 times, with detector time only about 2.5% to 2.9% of full-agent latency.
Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites
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abstract
Advancements in technology and reduction in it's cost have led to a substantial growth in the quality & quantity of imagery captured by Earth Observation (EO) satellites. This has presented a challenge to the efficacy of the traditional workflow of transmitting this imagery to Earth for processing. An approach to addressing this issue is to use pre-trained artificial intelligence models to process images on-board the satellite, but this is difficult given the constraints within a satellite's environment. This paper provides an up-to-date and thorough review of research related to image processing on-board Earth observation satellites. The significant constraints are detailed along with the latest strategies to mitigate them.
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SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite Intelligence
An edge-agent system on a COTS ARM SoC repeatedly completed two fixed FAIR1M detection workflows 20/20 times, with detector time only about 2.5% to 2.9% of full-agent latency.