The Public Passive Ranging Algorithm Based on Image Sequence

Abstract

Aiming at the passive ranging to the non-cooperate target, the passive ranging algorithm based on the image sequence is proposed. The analysis on the image matching algorithms were performed, including SIFT, SURF, and ASURF. In which, the SURF algorithm is better method in our system becouse of the real time and precision. It can find plenty of special regions from the target images grabbed at real time. Each special region includes not only the position, size and direction of itself, but also includes a feature vector with shifting, rotation and scale invariance. According to that information, each special region in grabbed image can find a corresponding region in target features database, and build a matching pair. So, the ranging from the target to the camera can be estimated by the parameters of the matching pairs. Experimental results show that the passive ranging algorithm is effective and reliable.