  Recently, FCNs based methods have made great progress in semantic
segmentation. Different with ordinary scenes, satellite image owns specific
characteristics, which elements always extend to large scope and no regular or
clear boundaries. Therefore, effective mid-level structure information
extremely missing, precise pixel-level classification becomes tough issues. In
this paper, a Dense Fusion Classmate Network (DFCNet) is proposed to adopt in
land cover classification.
