Two optical satellites HJ-1A and HJ-1B play an important role in natural disaster monitoring and risk assessment

e nvironment monitoring

and other fields. However

the system geometric correction products of HJ-1 CCD have low geometric precision and need to be corrected. HJ-1 CCD images have a larger aspect angle

a wider swath width and a larger image size. F urthermore

local geometric distortions are too complex in one scene. Thus

the geometric correction is difficult. In this paper

a hierarchical approach to automatic registration between HJ-1 CCD images and Landsat TM images based on the combination of Forstner operator and template matching is proposed firstly. The approach can obtain a large number of Control Points（ CPs） with high precision and even distribution. These CPs are used to generate Delaunay TIN. Then

local distortions of HJ-1 images can be rectified with the Delaunay triangulated irregular network（ Delaunay TIN）. A geometric precise correction system is then implemented

thereby completing the automatic processing for global HJ-1 images. Experiments with six HJ-1 images demonstrate that the approach is efficient

accurate

and fully automatic.