English

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

Machine Learning 2025-01-22 v1 Computer Vision and Pattern Recognition

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.

Keywords

Cite

@article{arxiv.2501.12030,
  title  = {Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites},
  author = {Aidan Duggan and Bruno Andrade and Haithem Afli},
  journal= {arXiv preprint arXiv:2501.12030},
  year   = {2025}
}

Comments

13 pages, 7 figures

R2 v1 2026-06-28T21:12:16.927Z