In this study, regarding a sequence submarine image for underwater vehicle navigation, a ribbon matching method based on image information and prior knowledge is proposed to increase the number and accuracy of matching points of submarine images. First of all, the deep submarine image is pre-processed with proper light compensation and linear enhancement. Then with navigation data as a guide, adjacent image ribbon areas are calculated on the basis of the physical position offset of images. The global calculated feature points are replaced by the calculated features in the ribbon area to increase the number of image registration points and reduce the mismatching rate. In experiments on deep sea images with repeated and few textures, compared with registration rely solely on image information, this method improves the number and accuracy of corresponding points in image registration.