Rotation and affine-invariant SIFT descriptor for matching UAV images with satellite images

Abstract

Image matching is a key issue in Vision-Based UAV navigation problems. This paper presents an affine and rotation-invariant SIFT features descriptor for matching UAV image with satellite images. The SIFT and ASIFT algorithm are nowadays widely applied for robust image matching, but it also has a high computational complexity. SURF is used for real-time UAV position estimation but is not satisfied for affine invariant. We introduce the new SIFT feature descriptor based on pie chart region. This descriptor is invariant for rotation, affine, scale and the dimension of the feature vector is relatively reduced. Therefore, this method satisfies robustness and low computational complexity. Experiments show that this method can improve the matching accuracy and robustness.