ing at the process of the registration of hyperspectral images and high spatial resolution images, it is difficult to choose the high-precision registration band because of the large difference between the bands of hyperspectral images. An algorithm for selecting high precision matching band of hyperspectral image based on Cram'er-Rao lower limit (CRLB) theory is proposed. Several bands with large amount of information and a small correlation in the hyperspectral image are selected by the band selection method. These bands are registered with the high spatial resolution image, respectively. The CRLB for each band's registration result is calculated. The high accuracy registration band is selected according to CRLB. The CRLB's registration quality evaluation performance is verified to be better by comparing CRLB and root mean square errors after each registration. And compared with the selected band registration results of CRLB and other methods, it is proved that the accuracy of the band registration selected by the proposed algorithm is high. The above band provides better data for the registration of hyperspectral images and high spatial resolution images.