6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.CV2025
Time-aware UNet and super-resolution deep residual networks for spatial downscaling
Mika Sipilä, Sabrina Maggio, Sandra De Iaco +3
Satellite data of atmospheric pollutants are often available only at coarse spatial resolution, limiting their applicability in local-scale environmental analysis and decision-maki…
stat.ME2023★ 6 cited
Nonlinear blind source separation exploiting spatial nonstationarity
Mika Sipilä, Klaus Nordhausen, Sara Taskinen
In spatial blind source separation the observed multivariate random fields are assumed to be mixtures of latent spatially dependent random fields. The objective is to recover laten…