Craters can be defined in terms of terrain attributes calculated from the Chang’E-1（ CE-1） Digital Elevation Model（ DEM）

and detected by using Hough Transform. We applied our method to the surrounding area of Klavius crater

and compared the results to the existing catalog of manually identified craters. The factors for our algorithm are: detection percentage（ D） =71%

branching factor（ B） = 0. 30 and quality percentage（ Q） = 58%. If we excluded the craters that our method is not capable of d etecting then D = 90%

B = 0. 30

and Q = 71%. The performance of proposed DEM-based algorithm is better than imagebased algorithm

especially the small number of false detections. The experiments demonstrate that the algorithm was able to detect the lunar craters from CE-1 DEM.