Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites

• URL: http://arxiv.org/abs/2501.12030v1
• Date: Tue, 21 Jan 2025 10:48:13 GMT
• Title: Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites
• Authors: Aidan Duggan, Bruno Andrade, Haithem Afli,
• Abstract summary: Advancements in technology 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.
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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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