A high time-efficiency multi-modal images matching scheme for navigation

In this paper, a new scheme based on multi-scale is presented to match multi-modal images, in the airborne autonomous navigation system. Pyramid structure is exploited, in the scheme from coarse to fine. In the coarsest scale, a stepwise elimination scheme is introduced, the Edge Dilatation Template (EDT) is presented and some methods are introduced to reduce the calculation. In the middle scales, Hausdorff Distance (HD) is exploited as similar measure. In the finest scale, mutual variance is exploited. Some methods are also introduced and deduced to speed up the calculation in other matching scales besides the finest scale. The results of the experiments indicate that the multi-scale method can achieve fast, precision matching between multi-modal images. It can be realized by hardware easily and helps to the engineering realization of image matching navigation system.