<p>To address the technical bottlenecks of inaccessibility, insufficient precision, and low efficiency encountered in the structural analysis of high-steep well-bedded sedimentary rock slopes, this paper focuses on the extraction and description of structural information for such slopes. An integrated framework utilizing unmanned aerial vehicle (UAV)-derived multisource data for constructing high-precision fusion model of rock slope, comprehensive interpretation of discontinuities and quantitative characterization of rock mass structure is proposed. In this framework, an improved UAV flight strategy that combines terrain-following oblique photogrammetry and multi-angle nap-of-the-object photogrammetry is proposed. This strategy supports the meticulous acquisition of multisource information from rock slope outcrops. Subsequently, based on the three-dimensional high-precision real-scene model of the slope surface, combined with point cloud and infrared thermal models, we implement a refined identification and extraction process for geometric discontinuity information considering orientation, trace length, and spacing. Finally, data visualization techniques are incorporated in the quantitative characterization for orientation, trace length, spacing and topologic structure of discontinuities, and a comprehensive scheme for describing the geometric characteristics of well-bedded rock mass structure is established. An experimental validation within the Grand Canyon of the Taihang Mountains in Shanxi Province, China, verifies to the applicability of the proposed framework in slope surface model construction, rock structure information collection and characterization.</p>