Comparison of Optimized Mathematical Methods in the Improvement of Raster Data and Map Display Resolution of Sentinel-2 Images

摘要

High-Resolution (HR) satellite images are a prerequisite in many applications such as astronomy, remote sensing, geoscience and geographical information systems, not only for providing better visualization but also for extracting extra information details. In the present work a comparative study of different single image resolution enhancement techniques is carried out on Sentinel-2 images of bands B2, B3, B4 and B8. The authors describe the stochastic regularized super-resolution (SR) reconstruction technique and compare with others. The techniques under comparison are stochastic regularized SR reconstruction (SRSR), spatial-wavelet SR reconstruction (SWSR) and the conventional interpolation techniques nearest neighbor (NN), bilinear (BL), bicubic (BC) and spline (SP). These techniques are tested against each other in terms of Root Mean Square Error (RMSE), Xydeas and Petrovich (XP), and Correlation Coefficient (CC). Simulated experiments of single image resolution increase take place.