1. INTRODUCTION Land cover classification is one of the most important applications of remote sensing, as it helps in monitoring urban expansion, studying vegetation cover, identifying water bodies, and analyzing land use. Many traditional classification methods rely on classifying each pixel independently; however, this approach can produce noisy maps, especially when using Sentinel-2 imagery with medium spatial resolution, where a single pixel can contain more than one type of land cover....