5 citations · 7 across the 10 of their papers we have counts for
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eess.IV2024★ 5 cited
Efficient onboard multi-task AI architecture based on self-supervised learning
Gabriele Inzerillo, Diego Valsesia, Enrico Magli
There is growing interest towards the use of AI directly onboard satellites for quick analysis and rapid response to critical events such as natural disasters. This paper presents…
eess.IV2024
Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention
Diego Valsesia, Tiziano Bianchi, Enrico Magli
Deep learning methods have traditionally been difficult to apply to compression of hyperspectral images onboard of spacecrafts, due to the large computational complexity needed to…