After successful completion of the course, students are able to uniformly formulate photogrammetric and non-photogrammetric observation categories and explain various principles for estimating unknown parameters. In particular, they can relate robust and non-robust estimation methods to assumptions about the nature of observation errors and suggest appropriate estimation methods. They can compare observation types and estimation principles, determine their similarities and explain differences. Students can justify the choice of solution methods for different photogrammetric tasks. They can assess the quality of photogrammetric methods and products. Students can apply projective geometry to photogrammetric problems, explain the concept of incremental fully automated bundle block adjustment and the methods necessary for it, describe dynamic photogrammetric tasks and suggest suitable methods of image processing, especially for the determination of corresponding points, and suitable methods of parameter estimation.
oral examination
during the oral exam (single person of very small groups) students are asked to discuss the requirements and results of different parameter estimation methods, observation types, their errors and their consideration, and finally to explain the special methods
The folliwing topics are expected to be known.