Research and Comparison on Remote Sensing Image Restoration Methods Under the Influence of Microvibration

With the improvement of resolution of remote sensing satellite, the effect of microvibration on the imaging quality of space camera is becoming more and more obvious. In this paper, different restoration methods of remote sensing image under the influence of microvibration are studied and compared. Firstly we analyze the exposure rule and the imaging principle of space camera when the imaging device is moving relative to the target. And a simulation degradation model of space camera imaging under microvibration is established based on the principles. And the simulated degraded image is obtained by simulating the model. Then, a non-blind restoration algorithm of remote sensing image under the influence of microvibration is proposed. The degraded image is restored and processed. The indexes of the restored image are improved by more than 25% and the proposed method is effective. Besides, four kinds of other restoration algorithms are also used to restore the degraded image. And we can get that the proposed non-blind restoration algorithm is better than all four kinds of other restoration algorithms about 33% by comparing the results. Finally, several suggestions are put forward in order to provide reference for remote sensing image restoration technology under the influence of microvibration.