The invention provides an image registration method of sparse feature matching on the basis of local linear constraint. The image registration method comprises the following steps: firstly, inferring an assumed matching set; then, utilizing a displacement function to define transformation Z, utilizing a diagonal matrix to point out a matching confidence level, solving a weight matrix, and obtaining an energy function; and finally, adopting a deterministic annealing technique to optimize and solve the energy function to obtain the transformation Z, and combining the transformation Z with bilinear interpolation to execute image registration. The image registration method of sparse feature matching on the basis of local linear constraint carries out global linear constraint on point matching by aiming at the problem of non-rigidity deformation since a remote sensing image is subjected to topographic relief, the point matching is subjected to the local linear constraint, and a local structure in a feature set can be protected after an image is transformed so as to improve image registration accuracy.