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Silke Migdall

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

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  • cs.CV1
  • eess.IV1
  • physics.ao-ph1
  • quant-ph1
ORCID 0000-0001-9089-6274

identity via Semantic Scholar / OpenAlex

most citedQuantum Machine Learning for Remote Sensing: Exploring potential and challenges

4 citations · 14 across the 4 of their papers we have counts for

collaborators

4 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…

eess.IV2021★ 2 cited

EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification

Maja Schneider, Amelie Broszeit, Marco Körner

We present EuroCrops, a dataset based on self-declared field annotations for training and evaluating methods for crop type classification and mapping, together with its process of…

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