mlsanityData to 13 Oct 2026

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

arXiv 2501.12030 ↗First posted 21 Jan 2025cs.LG cs.CVcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). Builds on 25 of its 86 references that are in the map. First posted on arXiv 21 Jan 2025.

Builds on

25 of 86 references.

References · 25

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13 more
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Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 7.

7 papers.

  1. 2026On-Orbit Space AI: Federated, Multi-Agent, and Collaborative Algorithms for Satellite Constellationscited by 0
  2. 2026Exploiting In-Sensor Computing for Energy-Efficient Earth Observationcited by 0
  3. 2026Event-Based Vision in Space: Applications, Trends, and Future Directionscited by 0
  4. 2026On-board Remote-Sensing Foundation Models for Unsupervised Change Detection of Disaster Eventscited by 0
  5. 2026SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite Intelligencecited by 0
  6. 2026Onboard Marine Anomaly Detection on Phisat-2: From Simulation-Based Development to In-Orbit Demonstrationcited by 0
  7. 2026AI-Based On-Board Maritime Object Detection for Earth Observation Payload Data Reduction on Versal Embedded Hardwarecited by 0