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eess.IV2026
Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites
Ziyao Yi, Davide Piccinini, Diego Valsesia +2
The next generation of Earth observation satellites will seek to deploy intelligent models directly onboard the payload in order to minimize the latency incurred by the transmissio…
eess.IV2026
A low-complexity method for efficient depth-guided image deblurring
Ziyao Yi, Diego Valsesia, Tiziano Bianchi +1
Image deblurring is a challenging problem in imaging due to its highly ill-posed nature. Deep learning models have shown great success in tackling this problem but the quest for th…
eess.IV2025
Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
Davide Piccinini, Diego Valsesia, Enrico Magli
Hyperspectral imagers on satellites obtain the fine spectral signatures essential for distinguishing one material from another at the expense of limited spatial resolution. Enhanci…