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| HRT3014 | Photogrammetry - II | 2+1+0 | ECTS:3 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | DC must have been achieved from HRT3013-Photogrammetry - I | | Mode of Delivery | Face to face, Lab work , Practical | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | | Lecturer | Prof. Dr. Fevzi KARSLI | | Co-Lecturer | ASSOC. PROF. DR. Eminnur TOPSAKAL AYHAN, | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to understand the usability and production methods of digital photogrammetry and advanced photogrammetric methods like aerial triangulation, and gain experience with digital modeling software and learn how to produce common photogrammetric products such as DEMs, orthophotos and 3D models. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Gain familiarity with the basic principles of digital photogrammetry and its applications. | 1,2 | 1,3 | | LO - 2 : | Identify and describe the fundamental properties of photogrammetric triangulation methods. | 1,2 | 1,3 | | LO - 3 : | Learn how to utilize digital photogrammetric workstations and softwares for producing maps. | 1,2 | 1,3 | | LO - 4 : | Realize the image rectification and resampling techniques in digital images. | 1,2 | 1,3 | | LO - 5 : | Describe theory and procedures of DEM, digital orthophoto, and its integration into GIS. | 1,2 | 1,3 | | LO - 6 : | Learn the image matching methods, manual and automatic measurement procedures in digital images. | 1,2 | 1,3 | | LO - 7 : | Have information about LIDAR and its relation with photogrammetry. | 1,2 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Orientations: The Concept of Digital Relative and Absolute Orientation. Photogrammetric Triangulation: Block Adjustment by Independent Models, Bundle Block Adjustment, Aerial triangulation with GPS/INS Support. Photogrammetric Geo-referencing: Direct and Indirect Geo-referencing. Introduction Digital Photogrammetry: Acquiring Digital Images, Digital Cameras and Scanners, Digital Photogrammetric Workstation and Softwares. Image Rectification and Resampling Techniques, Epipolar Geometry, Image Matching Methods, Manual and Automatic Measurement Procedures in Digital Images, Generating a DEM, Digital Image Processing. Orthophotography: Producing Digital Orthophoto. Integration of Photogrammetric Poducts with GIS and CAD Systems. LIDAR Technology and its Applications, LIDAR and Photogrammetric Data Integration. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Orientations: The Concept of Digital Relative and Absolute Orientation | | | Week 2 | Photogrammetric Triangulation: Block Adjustment by Independent Models | | | Week 3 | Bundle Block Adjustment, Aerial triangulation with GPS/INS Support | | | Week 4 | Photogrammetric Geo-referencing: Direct and Indirect Geo-referencing | | | Week 5 | Introduction Digital Photogrammetry | | | Week 6 | Acquiring Digital Images, Digital Cameras and Scanners | | | Week 7 | Digital Photogrammetric Workstation and Softwares | | | Week 8 | Mid-term exam | | | Week 9 | Image Rectification and Resampling Techniques | | | Week 10 | Epipolar Geometry, Image Matching Methods, Manual and Automatic Measurement Procedures in Digital Images | | | Week 11 | Quizz | | | Week 12 | Generating a DEM, Digital Image Processing | | | Week 13 | Orthophotography: Producing Digital Orthophoto | | | Week 14 | Integration of Photogrammetric Poducts with GIS and CAD Systems | | | Week 15 | LIDAR Technology and its Applications, LIDAR and Photogrammetric Data Integration | | | Week 16 | End-of-term exam | | | |
| 1 | Kraus, K., 1993, Photogrametry Volume 2, Advanced Methods and Applications, Germany, 459 P. | | | |
| 1 | Kraus, K., 1993, Photogrametry Volume 1, Fundamentals and Standard Processes, Germany, 389 P. | | | 2 | Mikhail, E., M., Bethel, S., J., McGlone, J., C., 2001, Modern Photogrammetry, John Wiley-Sons, USA, 473 P. | | | 3 | Wolf, P., R., Dewitt, B., A., 2000, Elements of Photogrammetry with applications in GIS, 3rd Edition, The McGraw-Hill companies, USA, 590 P. | | | 4 | Moffit, F., M., Mikhail, E., M., 1980, Photogrammetry, Third edition, Harper-Row, USA, 633 P. | | | 5 | Slama, C., C., 1980, Manual of Photogrammety, Fourth edition, American Society of Photogrammetry, USA, 1056 P. | | | 6 | www.ins.itu.edu.tr/foto/index.htm | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 31/03/2013 | 1 | 20 | | Quiz | 11 | 24/04/2013 | 1 | 10 | | Homework/Assignment/Term-paper | 15 | 12/05/2013 | 5 | 20 | | End-of-term exam | 16 | 25/05/2013 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 1 | 14 | 14 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 8 | 1 | 8 | | Arasınav | 1 | 1 | 1 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 4 | 2 | 8 | | Proje | 0 | 0 | 0 | | Kısa sınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 16 | 1 | 16 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 91 |
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