Abstract: Aiming at the existing problem of high mismatching rate and insufficient corresponding points for vehicle-borne sequential images,as a result of the plentiful repetitive texture in the building façade area,a new method combining auxiliary POS and the KLT corner tracking algorithm is proposed in this paper. In the first place, through taking full advantage of POS information, the local approximate stratification façade plane and DEM are established to get the initial displacement required by the KLT algorithm.Then a new strategy tracking the façade and road area separately is employed to ensure a good distribution of matching points.After that,the final result is obtained by integrating the RANSAC and epipolar constraint to eliminate the matching error. The implemented experiments show that the presented method could solve the preceding mismatching problem,as well as obtaining adequate and uniformly distributed corresponding points for a more robust aerial triangulation process.

Key words: vehicle-borne sequential image, POS-aided, KLT algorithm, RANSAC, epipolar constraint