3.2k citations · 11.3k across the 87 of their papers we have counts for
8 papers · 1 filter
A deep network approach to multitemporal cloud detection
Devis Tuia, Benjamin Kellenberger, Adrian Pérez-Suay +1
We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite.…
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Devis Tuia, Diego Marcos, Gustau Camps-Valls
Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignment…
deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling
Adugna G. Mullissa, Diego Marcos, Devis Tuia +2
Deep learning (DL) has proven to be a suitable approach for despeckling synthetic aperture radar (SAR) images. So far, most DL models are trained to reduce speckle that follows a p…
Contextual Semantic Interpretability
Diego Marcos, Ruth Fong, Sylvain Lobry +3
Convolutional neural networks (CNN) are known to learn an image representation that captures concepts relevant to the task, but do so in an implicit way that hampers model interpre…
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerabl…
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
John Vargas, Shivangi Srivastava, Devis Tuia +1
OpenStreetMap (OSM) is a community-based, freely available, editable map service that was created as an alternative to authoritative ones. Given that it is edited mainly by volunte…