Super Resolution Reconstruction Technique in Passive Microwave Images of Arctic Sea Ice

Polar sea ice is one of the key parameters of cryosphere and polar environmental change, which plays an important role in the study of global climate change. High-resolution monitoring of polar sea ice relies mainly on optical satellite imagery and synthetic aperture radar (SAR) data, with limited spatial and temporal coverages for many applications. Passive microwave data is an important data source for continuous observations of polar sea ice, thanks to its working ability in all-sky conditions and its wide coverage. However, it is difficult to achieve high-resolution monitoring of polar sea ice using passive microwave data due to its coarse resolution. In order to solve this problem, super resolution (SR) reconstruction technique is adopted in this paper to improve the spatial resolution of passive microwave images. SR reconstruction technique based on both single-image and multi-image are attempted. AMSR2 level 3 (L3) Products of Brightness Temperatures (BTs) for Arctic sea ice are used as experimental data, and the reconstruction results obtained from different SR methods are compared and discussed.