دورية أكاديمية

The OPS-SAT case: A data-centric competition for onboard satellite image classification

التفاصيل البيبلوغرافية
العنوان: The OPS-SAT case: A data-centric competition for onboard satellite image classification
المؤلفون: Meoni, G. (author), Märtens, Marcus (author), Derksen, Dawa (author), See, Kenneth (author), Lightheart, Toby (author), Sécher, Anthony (author), Martin, Arnaud (author), Rijlaarsdam, David (author), Fanizza, Vincenzo (author), Izzo, Dario (author)
سنة النشر: 2024
المجموعة: Delft University of Technology: Institutional Repository
مصطلحات موضوعية: artificial intelligence (AI), data-centric competition, onboard classification, onboard machine learning, OPS-SAT
الوصف: While novel artificial intelligence and machine learning techniques are evolving and disrupting established terrestrial technologies at an unprecedented speed, their adaptation onboard satellites is seemingly lagging. A major hindrance in this regard is the need for high-quality annotated data for training such systems, which makes the development process of machine learning solutions costly, time-consuming, and inefficient. This paper presents “the OPS-SAT case”, a novel data-centric competition that seeks to address these challenges. The powerful computational capabilities of the European Space Agency’s OPS-SAT satellite are utilized to showcase the design of machine learning systems for space by using only the small amount of available labeled data, relying on the widely adopted and freely available open-source software. The generation of a suitable dataset, design and evaluation of a public data-centric competition, and results of an onboard experimental campaign by using the competition winners’ machine learning model directly on OPS-SAT are detailed. The results indicate that adoption of open standards and deployment of advanced data augmentation techniques can retrieve meaningful onboard results comparatively quickly, simplifying and expediting an otherwise prolonged development period. (Figure presented.). ; Space Systems Egineering
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: http://www.scopus.com/inward/record.url?scp=85187912573&partnerID=8YFLogxKTest; Astrodynamics--86826328-04c6-45a2-a58a-c55408f695fc; http://resolver.tudelft.nl/uuid:ce22c247-27e3-46ea-a05d-55c720c35085Test; https://doi.org/10.1007/s42064-023-0196-yTest
DOI: 10.1007/s42064-023-0196-y
الإتاحة: https://doi.org/10.1007/s42064-023-0196-yTest
http://resolver.tudelft.nl/uuid:ce22c247-27e3-46ea-a05d-55c720c35085Test
حقوق: © 2024 G. Meoni, Marcus Märtens, Dawa Derksen, Kenneth See, Toby Lightheart, Anthony Sécher, Arnaud Martin, David Rijlaarsdam, Vincenzo Fanizza, Dario Izzo
رقم الانضمام: edsbas.2F0DA116
قاعدة البيانات: BASE