A new feature matching algorithm based on the RMAI for aerial image registration

To solve the problem of mismatches in image registration, in this paper, a new feature matching algorithm is proposed. Firstly, considering the intensity distribution and affine invariant properties of triangle, the relative mass affine invariants (RMAI) are defined to describe triangle regions. And then a global feature matching strategy is designed based on RMAI and graph structure. In the matching process, Genetic Algorithm is applied to search two matched graphs. Experimental results by registering aerial images show that the proposed algorithm has higher accuracy and stability than traditional Iterative Closest Point (ICP) and Coherent Point Drift (CPD), the proposed algorithm can deal with images with similar features, monotonous backgrounds and low overlapping areas.