High resolution optical images are susceptible to imaging conditions and changes in ground features， resulting in geometric and radiative distortions which are difficult to ignore. Traditional registration methods are difficult to ensure accuracy and stability. Therefore， this study fully utilizes the advantages of phase congruency in the geometric structure expression of images， proposes a registration algorithm based on multi-directional phase congruency， uses Log-Gabor filter to calculate the phase congruency and minimum moments of images in different directions， further extracts image corners through multi threshold constraints， and constructs descriptors that are weakly sensitive to radiation and rotation to achieve complex radiation Matching homonymous features in geometric distortion scenarios， and finally using matching features to solve local registration models. Multiple experiments based on GF-1/2/6/7 images have demonstrated that the proposed algorithm can achieve high-precision registration and is suitable for domestic high-resolution optical image registration tasks from different sources， scenes， and resolutions.