4 citations · 12 across the 3 of their papers we have counts for
3 papers
quant-ph2023★ 4 cited
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux +1
The industry of quantum technologies is rapidly expanding, offering promising opportunities for various scientific domains. Among these emerging technologies, Quantum Machine Learn…
physics.ao-ph2023★ 4 cited
Super-resolved rainfall prediction with physics-aware deep learning
S. Moran, B. Demir, F. Serva +1
Rainfall prediction at the kilometre-scale up to a few hours in the future is key for planning and safety. But it is challenging given the complex influence of climate change on cl…
cs.CV2023★ 4 cited
Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data
J. F. Amieva, A. Austoni, M. A. Brovelli +4
Change detection (CD) methods have been applied to optical data for decades, while the use of hyperspectral data with a fine spectral resolution has been rarely explored. CD is app…