Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4

Gaofen-4 is the first optical geostationary satellite in China and it is in operation since 2016. Unfortunately, the mid-infrared band has a Ground Spatial Distance (GSD) of 400 m, which is low and limits its application in temperature retrieval. The calibration of this band is challenging as well. In this paper, a new data fusion method is proposed to improve both image quality and spatial resolution, by making use the advantage of high temporal resolution. Experimental results show that the reconstructed high resolution mid-infrared images not only provide more details visually but also gives more accurate and reliable temperature mapping than the original images. The proposed solution holds potential application for Gaofen-4 in the near future