Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning

There is growing interest toward the use of artificial intelligence (AI) directly onboard satellites for quick analysis and rapid response to critical events such as natural disasters. This article presents a blueprint to the mission designer for the development of a modular and efficient deep learn...

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Hlavní autoři:	Gabriele Inzerillo, Diego Valsesia, Enrico Magli
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Multitask learning onboard AI self-supervised learning (SSL)
On-line přístup:	https://ieeexplore.ieee.org/document/10758783/
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