Multimodal image registration between visible, infrared and SAR images is the key technology to all-weather high-precision navigation and guidance. Based on an invariant feature designed at the pixel level, the orientation-moment, which describes the similarity of a pixel with its neighbors in different orientation, a multimodal image registration algorithm, that matches multisensor images by analyzing such similarities, is proposed. In matching tests, including visible, infrared and SAR images, it has reached a success rate of more than 90%. Comparing with traditional multimodal image registration algorithms, this method greatly improved the success rate, and had broad application prospects in navigation and guidance.