Rotation resistance airborne remote image real time matching algorithm

In allusion to requirement of real time high precision matching of remote image in airborne image aided navigation system rotation resistance airborne remote image real time matching algorithm is put forward to eliminate noise and geometrical aberrance. Because of great information in remote image at first Harris corner detection algorithm is used to extract character point of remote image to increase matching speed, and modified invariant moment is done to correct image distortion caused by different time, different view angel, different sensor and so on; then robust Hausdorff distance is used to realize remote image real time matching to acquire high matching precision, then simulative experiment is done on airborne image acquired by sensor or radar and digital map stored in computer at last. Simulative experiment indicates that image matching rate of rotation resistance algorithm is better than algorithm which is not adopted modified invariant moment, and the algorithm is available and effective.