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Towards fine-grained road maps extraction using sentinel-2 imagery
(Copernicus, 2021)
info:eu-repo/semantics/conferenceObject,
Nowadays, it is highly important to keep road maps up-to-date since a great deal of services rely on them. However, to date, these labours have demanded a great deal of human attention due to their complexity. In the last ...
Additional feature layers from ordered aggregations for deep neural networks
(IEEE, 2020)
info:eu-repo/semantics/conferenceObject,
In the last years we have seen huge advancements in the area of Machine Learning, specially with the use of Deep Neural Networks. One of the most relevant examples is in image classification, where convolutional neural ...
Learning super-resolution for Sentinel-2 images with real ground truth data from a reference satellite
(Copernicus, 2020)
info:eu-repo/semantics/conferenceObject,
Copernicus program via its Sentinel missions is making earth observation more accessible and affordable for everybody. Sentinel-2 images provide multi-spectral information every 5 days for each location. However, the maximum ...