SUR 421Advanced Photogrammetry
Advanced mathematical methods for processing digital imagery and point clouds, and applications in surveying. This course is designed to provide a deeper understanding of the mathematical models used in Photogrammetry. New techniques are also presented, such as Structure from Motion (SfM) and Simultaneous Localization and Mapping (SLAM) for surveying applications. Platforms that are considered are terrestrial (close-range photogrammetry) and aerial (UAS and airborne photogrammetry). The course covers image alignment and georeferencing using ground control points (indirect) and multisensory direct georeferencing. Occlusion detection and true-orthophoto generation, together with image block mosaicking and refinement, are presented. Camera calibration and self-calibration approaches are discussed. The course also discusses principles and requirements for designing point cloud surveys that meet project needs.