| Course Name |
(中) 解析航空測量學(6755) |
| (Eng.) Analytical Photogrammetry |
| Offering Dept |
Department of Civil Engineering |
| Course Type |
Elective |
Credits |
3 |
Teacher |
YEN-RU LAI |
| Department |
Department of Civil Engineering/Graduate |
Language |
English |
Semester |
2025-SPRING |
| Course Description |
The introduction to the mathematical foundations of aerial surveying, coordinate systems, geometric condition equations and their linearization, aerial triangulation adjustment, photogrammetric accuracy analysis and quality control, analytical stereoplotters, and the principles and applications of digital photogrammetry. |
| Prerequisites |
|
self-directed learning in the course |
Y |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| Enable students to understand the basic theories of analytical aerial surveying, including coordinate systems, geometric conditions, aerial triangulation mathematical models, computer solution methods, stereoscopic surveying instruments, and the principles and applications of digital photogrammetry. |
| 1.Capability in computation and analysis for civil engineering theory |
| 2.Capability in analysis, evaluation, design, and implementation for civil engineering practices |
| 3.Capability in project management, communication, team work, and problem-solving |
| 4.Acknowledgements in contemporary issues, societal responsibilities, engineering ethics, and continuing learning for civil engineers |
| 5.Professional knowledge in structural engineering, hydraulic engineering, geotechnical engineering, geomatics, construction management, hazard mitigation, and sustainable engineering |
| 6.Capability in the initiation and fulfillment of research proposals and writing professional theses |
|
|
| Exercises |
| Lecturing |
| Discussion |
|
| Written Presentation |
| Attendance |
| Assignment |
| Quiz |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Course Introduction |
| Week 2 |
Fundamental Mathematics for Photogrammetry
|
| Week 3 |
Geometric Conditions in Photogrammetry
|
| Week 4 |
Development of Collinearity Condition Equations
|
| Week 5 |
Photogrammetric Triangulation: Space Resection
|
| Week 6 |
Photogrammetric Triangulation:
Space Intersection and Back Projection Resampling
|
| Week 7 |
National Holiday (no class) |
| Week 8 |
Photogrammetric Triangulation: Absolute and Relative Orientation |
| Week 9 |
Photogrammetric Triangulation: Strip Formation and Adjustment |
| Week 10 |
The 29th International Symposium on Remote Sensing (ISRS 2024) at NCHU |
| Week 11 |
Photogrammetric Triangulation: Block Bundle Adjustment |
| Week 12 |
Bundle Adjustment with Additional Parameters |
| Week 13 |
Self-Calibrated Bundle Adjustment |
| Week 14 |
Techniques for Solving the Reduced Normal Equation in Bundle Adjustment
|
| Week 15 |
Digital Photogrammetry |
| Week 16 |
Final Exam |
| Week 17 |
Self-directed learning: Program Development in Photogrammetry. |
| Week 18 |
Self-directed learning: Program Development in Photogrammetry. |
|
| Evaluation |
| Final Exam (30%), Quiz (5%), Home works (60%), Attendance (5%). |
| Textbook & other References |
Text Book:
Wolf, P. R., B. A. Dewitt, and B. E. Wilkinson, 2014, Elements of Photogrammetry with Application in GIS, 4th Ed., McGraw Hill.
Reference:
1. American Society for Photogrammetry and Remote Sensing, 2013, Manual of Photogrammetry, 6th Ed., Falls Church, Virginia.
2. Mikhail, E. M., J. S. Bethel, and J. C. McGlone, 2001. Introduction to Modern Photogrammetry, John Wiley & Sons, New York.
3. Victor J. D. Tsai, lecture notes of ”Analytical Photogrammetry” course at NCHU. |
| Teaching Aids & Teacher's Website |
| NCHU iLearning: https://lms2020.nchu.edu.tw/course/26106 |
| Office Hours |
| Thursday from 1 pm to 2 pm, or by an appointment |
| Sustainable Development Goals, SDGs |
| include experience courses：N |
|