Image matching is widely used in the guidance of aircraft. It is a key problem to improve the matching probability. The real time image is so small that the matching probability is lower if you use the traditional matching way. To improve the matching probability, a new matching algorithm based on serial images and normalized cross correlation is proposed. The serial real time images are taken when the aircraft crosses the matching area. The result is obtained from the matching results of each image based on given rules. Experiment shows the algorithm not only upgrades the matching probability efficiently but also has right smart practicability.