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eess.IV2020★ 101 cited
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…
eess.IV2018
Decision fusion with multiple spatial supports by conditional random fields
Devis Tuia, Michele Volpi, Gabriele Moser
Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels. First, land cover classes are observed…