Advancing Earth observation: a survey on AI-powered image processing in satellites
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| I publikationen: | European Journal of Remote Sensing vol. 58, no. 1 (Dec 1, 2025) |
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| Huvudupphov: | |
| Övriga upphov: | , |
| Utgiven: |
Taylor & Francis Ltd.
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| Ämnen: | |
| Länkar: | Citation/Abstract Full Text - PDF |
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MARC
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| 001 | 3284639718 | ||
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| 024 | 7 | |a 10.1080/22797254.2025.2567921 |2 doi | |
| 035 | |a 3284639718 | ||
| 045 | 0 | |b d20251201 | |
| 100 | 1 | |a Duggan, Aidan |u Computer Science Department, Munster Technological University , Cork , Ireland | |
| 245 | 1 | |a Advancing Earth observation: a survey on AI-powered image processing in satellites | |
| 260 | |b Taylor & Francis Ltd. |c Dec 1, 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a ABSTRACT Advancements in technology and a reduction in its cost have led to substantial growth in the quality and 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 address this issue is to use pre-trained artificial intelligence models to process images onboard 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. | |
| 653 | |a Artificial intelligence | ||
| 653 | |a Satellites | ||
| 653 | |a Satellite observation | ||
| 653 | |a Earth | ||
| 653 | |a Constraints | ||
| 653 | |a Image processing | ||
| 653 | |a Satellite imagery | ||
| 653 | |a Deep learning | ||
| 653 | |a Computer science | ||
| 653 | |a Data processing | ||
| 653 | |a Landsat satellites | ||
| 653 | |a Artificial satellites | ||
| 653 | |a Machine learning | ||
| 653 | |a Communication channels | ||
| 653 | |a Remote sensing | ||
| 653 | |a Edge computing | ||
| 653 | |a Sensors | ||
| 653 | |a Cost control | ||
| 653 | |a Ground stations | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Andrade, Bruno |u Computer Science Department, Munster Technological University , Cork , Ireland | |
| 700 | 1 | |a Afli, Haithem |u Computer Science Department, Munster Technological University , Cork , Ireland | |
| 773 | 0 | |t European Journal of Remote Sensing |g vol. 58, no. 1 (Dec 1, 2025) | |
| 786 | 0 | |d ProQuest |t Research Library | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3284639718/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3284639718/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |