  This paper aims at providing multi-source remote sensing images registered in
geometric space for image fusion. Focusing on the characteristics and
differences of multi-source remote sensing images, a feature-based registration
algorithm is implemented. The key technologies include image scale-space for
implementing multi-scale properties, Harris corner detection for keypoints
extraction, and partial intensity invariant feature descriptor (PIIFD) for
keypoints description. Eventually, a multi-scale Harris-PIIFD image
registration algorithm framework is proposed. The experimental results of four
sets of representative real data show that the algorithm has excellent, stable
performance in multi-source remote sensing image registration, and can achieve
accurate spatial alignment, which has strong practical application value and
certain generalization ability.
