The study of mapping relation of aeroplane complex motion and image movement and compensation technique

Abstract

In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion, attitude changes, and the relative motion of the camera and aircraft, firstly, we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values, the geometrical relationship between the camera and the aircraft is acquired, then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that, making use of geometrical relationship, we can calculate the displacement variation of pixels within the camera exposure time. Thereafter, taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging, then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time, and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window, the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system.