Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques

E. Zioga, Antigoni Panagiotopoulou, Marianthi Stefouli, Eleni Charou, Lazaros Grammatikopoulos, Emmanuel Bratsolis, Nicholas Madamopoulos

Abstract: 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 enhancement by factors 2 and 4 as well as by factors 2 and 6 using Very-Deep SuperResolution (VDSR) and DSen2 networks, respectively, provides fairly well results on Amynteo lignite mine images.