Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images

Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images

Abstract Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of bus and solar panel sizes. While inverse syntheti...

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Bibliographic Details
Main Authors: Friso G. Heslinga, Faruk Uysal, Sabina B. vanRooij, Sven Berberich, Miguel Caro Cuenca
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Radar, Sonar & Navigation
Subjects:
artificial intelligence
image segmentation
inverse synthetic aperture radar (ISAR)
satellite tracking
Online Access:https://doi.org/10.1049/rsn2.12516

Internet

https://doi.org/10.1049/rsn2.12516

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