4 citations · 5 across the 4 of their papers we have counts for
6 papers
Class-Wise Principal Component Analysis for hyperspectral image feature extraction
Dimitra Koumoutsou, Eleni Charou, Georgios Siolas +1
This paper introduces the Class-wise Principal Component Analysis, a supervised feature extraction method for hyperspectral data. Hyperspectral Imaging (HSI) has appeared in variou…
Procedural 3D Terrain Generation using Generative Adversarial Networks
Emmanouil Panagiotou, Eleni Charou
Procedural 3D Terrain generation has become a necessity in open world games, as it can provide unlimited content, through a functionally infinite number of different areas, for pla…
Land Cover Semantic Segmentation Using ResUNet
Vasilis Pollatos, Loukas Kouvaras, Eleni Charou
In this paper we present our work on developing an automated system for land cover classification. This system takes a multiband satellite image of an area as input and outputs the…
Neural Style Transfer for Remote Sensing
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…
Very Deep Super-Resolution of Remotely Sensed Images with Mean Square Error and Var-norm Estimators as Loss Functions
Antigoni Panagiotopoulou, Lazaros Grammatikopoulos, Eleni Charou +3
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. The VDSR net is re-train…
Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques
E. Zioga, A. Panagiotopoulou, M. Stefouli +4
Deep learning techniques are applied so as to increase the spatial resolution of Sentinel2 satellite imagery, depicting the Amynteo lignite mine in Ptolemaida, Greece. Resolution e…