Robust crater detection algorithms (CDAs) are important prerequisites for numerous applications in lunar and planetary science. In this paper, we present a novel integrated CDA for processing of global topography and global optical image mosaics. The proposed CDA is applied to one specific asteroid-like body, the small Martian moon Phobos. The new CDA consists of: (1) processing by topography-based CDA; (2) processing by optical-based CDA; (3) re-projection of used datasets and crater coordinates from normal to rotated view and back; (4) corrections of brightness and contrast of used optical image; and (5) tile generation for optical-based CDA and assembling of results with elimination of multiple detections, in combination with down-sampling of used optical-image in a loop down to the resolution of available topography image. Experimental evaluation of the proposed CDA is done by manual verification of crater-candidates and search for craters not catalogued in the previous steps. The evaluation has shown that the proposed CDA was used successfully for cataloging of 75% of Phobos craters. The result is PH1102GT, the first global catalogue of 1102 Phobos craters. It contains considerably more craters in comparison to the previously available maps with 15 named craters.