  Arctic Sea Ice Concentration (SIC) is the ratio of ice-covered area to the
total sea area of the Arctic Ocean, which is a key indicator for maritime
activities. Nowadays, we often use passive microwave images to display SIC, but
it has low spatial resolution, and most of the existing super-resolution
methods of Arctic SIC don't take the integration of spatial and channel
features into account and can't effectively integrate the multi-scale feature.
To overcome the aforementioned issues, we propose MFM-Net for Arctic SIC
super-resolution, which concurrently aggregates multi-scale information while
integrating spatial and channel features. Extensive experiments on Arctic SIC
dataset from the AMSR-E/AMSR-2 SIC DT-ASI products from Ocean University of
China validate the effectiveness of porposed MFM-Net.
