Image improvement based on sub-pixel post-integration for a staring imaging system in geostationary orbit

This paper proposes the post-integration technology based on sub-pixel image registration and image fusion to improve the signal-to-noise ratio(SNR)of remote sensing images without motion degradation caused by satellite vibration.A two-dimensional vibration system is set up to simulate satellite disturbance.Image sequences with different exposure times are captured using a high-speed CMOS camera.The displacement plots are compared with the motion data measured by the grating linear encoder.These plots indicate that the accuracy of the registration algorithm is better than 0.1 pixels.The sub-pixel image fusion shows an improvement in image quality,thus indicating that this technology is powerful for staring imaging systems in geostationary orbit.