The new matrix characteristic methods of image fine registration for synthetic aperture radar interferometry

The image registration is the first step for synthetic aperture radar (SAR) interferometry (INSAR), which is performed in two steps: coarse and fine registration. The least square method and polynomial method in several elements are the traditional fine registration methods. The authors introduce the new matrix characteristic (MC), methods: characteristic polynomial, eigenvalues, eigenvectors and vector fitting polynomial methods, for MC can indicate the surface integration characteristic of first class sub-images. The achievable accuracy is derived theoretically and verified by tests using the simulated interferometric data. The registration accuracy is more precise than that of other methods.