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Opportunities and c...
Opportunities and challenges of on-board AI-based image recognition for small satellite Earth observation missions
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- Chintalapati, Bharadwaj (författare)
- Luleå tekniska universitet,Rymdteknik,Airbus Defence and Space GmbH, Friedrichshafen,Claude-Dornier Strasse, 88090 Immenstaad am Bodensee, Germany
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- Precht, Arthur (författare)
- Airbus Defence and Space GmbH, Friedrichshafen,Claude-Dornier Strasse, 88090 Immenstaad am Bodensee, Germany
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- Hanra, Sougata (författare)
- Airbus Defence and Space GmbH, Friedrichshafen,Claude-Dornier Strasse, 88090 Immenstaad am Bodensee, Germany
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- Laufer, Rene (författare)
- Luleå tekniska universitet,Rymdteknik
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- Liwicki, Marcus (författare)
- Luleå tekniska universitet,EISLAB
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- Eickhoff, Jens (författare)
- Airbus Defence and Space GmbH, Friedrichshafen,Claude-Dornier Strasse, 88090 Immenstaad am Bodensee, Germany; University of Stuttgart, Postfach 10 60 37, 70049 Stuttgart, Germany
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: Advances in Space Research. - : Elsevier. - 0273-1177 .- 1879-1948.
- Relaterad länk:
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The satellite industry is rapidly growing. There has been a significant increase in the number of new small satellites that are launched, which is complemented by the rapid pace of the development of image recognition algorithms. Convolutional neural networks (CNNs) in particular, have achieved state-of-the-art performance in computer vision related applications. Combining both and running an AI algorithm on-board the satellite to observe and recognize any natural disaster directly from the orbit is an important opportunity. This paper presents notable challenges that are generally involved in an Earth Observation small satellite mission and further challenges that are posed by combining it with AI-based image recognition on-board the satellite. This study discusses an approach that is feasible mainly for a fleet of small satellites.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Deep learning
- Convolutional neural networks
- Object detection
- Earth observation
- Small Satellite
- On-board Artificial Intelligence
- Onboard Space Systems
- Rymdtekniska system
- Maskininlärning
- Machine Learning
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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