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Unmanned aerial vehicle (UAV) has many advantages, such as small size, easy to use and strong battlefield survivability. It has been widely used in military field. When UAV reconnaissance, there is relative motion between the imaging equipment and the object, which makes the image blurred and seriously affects the later information processing. Therefore, how to improve the quality of the blurred image has become an important issue in UAV intelligence processing. This paper introduces the degradation mechanism and imaging characteristics of image motion blur under the background of UAV reconnaissance, studies two kinds of methods of image non-blind restoration and blind restoration in the field of motion blur restoration, and summarizes the advantages and disadvantages of each algorithm from two aspects of algorithm principle and practical application. Finally, the development trend of motion blur restoration algorithm for UAV reconnaissance image is prospected. Real-time, applicability and intelligence will become the mainstream development direction of the algorithm.