The normalized sift based on visual matching window and structural information for multi-optical imagery registration

When applying SIFT algorithm in registration between multi-optical imagery, few matching couples are obtained. Aiming to this problem, a new algorithm named normalized SIFT based on visual matching window and structural information is proposed in this paper. By constructing the visual matching window, the scale similarity and matching probability between SIFT features are significantly increased. The structure consistency-based matching couples´ inspection method is carried out to remove incorrect matching points, which increases the registration accuracy. Some multi-sensor remote sensing images with big differences in acquired angle and resolution were tested. The results indicate that many matching couples which distribute equally were extracted and the precision is lower than 1 pixel.