Image registration is a fundamental and crucial step in remote sensing image analysis. However, it is known that image
registration method is application-based. The type and content of remote sensing images affect the choice of image
registration methods. Previous image registration task took experts to manually choose the image registration elements.
This paper presents a self-adaptive image registration method which could automatically choose registration elements
which are more appropriate for remote sensing images under processing. The proposed method first chooses several
local regions for the representation of the whole image, and then different registration elements are tested on these local
regions. The local registration results are evaluated and the registration of the whole image is done with learned
registration elements from local registrations. The registration chain is automatic; therefore it is a self-adaptive
registration method. The proposed method is demonstrated on several real remote sensing image pairs, and its feasibility
and superiority are proved by the results.