The last three Apollo lunar missions (15, 16, and 17) carried an integrated photogrammetric mapping system of a Metric Camera (MC), a high-resolution Panoramic Camera, a Star Camera, and a Laser Altimeter. Recently images taken by the MC were scanned by Arizona State University (ASU); these images contain valuable information for scientific exploration, engineering analysis, and visualization of the moon’s surface. Through this article, we took advantage of the large overlaps, the multi viewing, and the high ground resolution of the images taken by the Apollo MC in generating an accurate and trustful surface of the Moon. After computing the positions and orientations of the exposure stations, through rigorous a photogrammetric bundle adjustment techniques, we carried out a two-step matching process that contains hierarchical matching and least squares matching; both steps are implemented in a multi-photo scheme. Our results look very promising and demonstrate the effectiveness of the proposed algorithm in accounting for depth discontinuities, occlusions, and noises.