Multiangular imagery is an important way of obtaining multiangular remotelysensed data. Before multiangular data can be used for analysis

it is important to register these data. Through registration

the same area can be identified from multiangular images. One of the problem in multiangular image registration is brightness variation due to differences in viewing angle

bidirectional reflectance variation and atmospheric scattering.In this paper

a series processing of registration for multiangular images will be described. It includes preprocessing and hierarchical brightnessbased registration algorithm. In order to remove the brightness differences between two images with large angle

we use an advanced template matching method which is not related to brightness mean to register images. Texture invariation will be considered. Along the viewing angle increasement direction

sequence registration can improve accuracy of large angle image registration. Finally

registration images were obtained by using local adaptive geometric correction.We use POLDER airborne simulated multiangular images which were provided by CNES of France and have obtained more than 30 differential angle registered data of rice and wheat

etc.