143 citations · 329 across the 6 of their papers we have counts for
12 papers
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra, Diego Marcos, Francesca Bovolo +1
While annotated images for change detection using satellite imagery are scarce and costly to obtain, there is a wealth of unlabeled images being generated every day. In order to le…
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…
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information
Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos +3
Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image ana…
RSVQA: Visual Question Answering for Remote Sensing Data
Sylvain Lobry, Diego Marcos, Jesse Murray +1
This paper introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information which can be useful for a wide ra…