no code implementations • 9 Apr 2021 • Dimitra Koumoutsou, Eleni Charou, Georgios Siolas, Giorgos Stamou
This paper introduces the Class-wise Principal Component Analysis, a supervised feature extraction method for hyperspectral data.
no code implementations • 13 Oct 2020 • Vasilis Pollatos, Loukas Kouvaras, Eleni Charou
For this purpose convolutional machine learning models were trained in the task of predicting the land cover semantic segmentation of satellite images.
1 code implementation • 13 Oct 2020 • Emmanouil Panagiotou, Eleni Charou
Combining the generated DEM and RGB image, we are able to construct 3D scenery consisting of a plausible height distribution and colorization, in relation to the remotely sensed landscapes provided during training.
no code implementations • 31 Jul 2020 • Maria Karatzoglidi, Georgios Felekis, Eleni Charou
The well-known technique outlined in the paper of Leon A. Gatys et al., A Neural Algorithm of Artistic Style, has become a trending topic both in academic literature and industrial applications.
no code implementations • 30 Jul 2020 • Antigoni Panagiotopoulou, Lazaros Grammatikopoulos, Eleni Charou, Emmanuel Bratsolis, Nicholas Madamopoulos, John Petrogonas
In this work, very deep super-resolution (VDSR) method is presented for improving the spatial resolution of remotely sensed (RS) images for scale factor 4.