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Recently, FCNs based methods have made great progress in semanticsegmentation. Different with ordinary scenes, satellite image owns specificcharacteristics, which elements always extend to large scope and no regular orclear boundaries. Therefore, effective mid-level structure informationextremely missing, precise pixel-level classification becomes tough issues. Inthis paper, a Dense Fusion Classmate Network (DFCNet) is proposed to adopt inland cover classification.

Dense Fusion Classmate Network for Land Cover Classification