A method of airborne remote sensing image quality assessment based on image matching

Since the fast development of UAV remote sensing provides us low-altitude high-resolution remote sensing data which is in great need in China, the flight quality assessment becomes one of the most important procedures of aerial photogrammetry. This paper introduces a flight quality assessment method based on image matching, which is a new meaningful attempt. The method uses RANSAC to remove coarse matched points, and calculates image rotation angle, track overlap, forward overlap, side overlap and strip deformation according to the matching parameters. Then it assesses the quality of the Unmanned Aerial Vehicle(UAV) flight from five aspects mentioned above. The proposed method involves some key technologies such as image processing, accuracy calibration, photogrammetry, data query. In the end, it establishes a complete quality assessment system which is of great efficient and high precision.