100 citations · 106 across the 3 of their papers we have counts for
5 papers · 1 filter
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning
Manu Tom, Rajanie Prabha, Tianyu Wu +3
Continuous observation of climate indicators, such as trends in lake freezing, is important to understand the dynamics of the local and global climate system. Consequently, lake ic…
Integrated monitoring of ice in selected Swiss lakes. Final project report
Manu Tom, Melanie Suetterlin, Damien Bouffard +3
Various lake observables, including lake ice, are related to climate and climate change and provide a good opportunity for long-term monitoring. Lakes (and as part of them lake ice…
Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Rajanie Prabha, Manu Tom, Mathias Rothermel +3
Lake ice is a strong climate indicator and has been recognised as part of the Essential Climate Variables (ECV) by the Global Climate Observing System (GCOS). The dynamics of freez…
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
Charis Lanaras, José Bioucas-Dias, Silvano Galliani +2
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands, acquired at three different spatial resolutions. The aim of this research is to super-resol…
Learned Spectral Super-Resolution
Silvano Galliani, Charis Lanaras, Dimitrios Marmanis +2
We describe a novel method for blind, single-image spectral super-resolution. While conventional super-resolution aims to increase the spatial resolution of an input image, our goa…