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| JDZL5160 | Engineering Photogrammetry | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Lab work , Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Eminnur TOPSAKAL AYHAN | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Objectives of this course are to explain the basic fundamentals of digital terrestrial and close range photogrammetry, close range photogrammetric data such as terrestrial images, building images, and medical images and how to apply digital close range photogrammetric methods on images. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Have ability to understanding of basic information and applications on engineering photogrammetry. | 1,5,10 | 1, 3, 4 | | PO - 2 : | Learn the mathematical models for terrestrial and close range photogrammetry. | 1,5,10 | 1, 3, 4 | | PO - 3 : | Understand image coordinate accuracy and calibration process. | 1,5,10 | 1, 3, 4 | | PO - 4 : | Design the imaging network for engineering photogrammetry, and analysis and comment the factors affecting the network. | 1,5,10 | 1, 3, 4 | | PO - 5 : | Manage close range photogrammetric project from acquisition to presentation for various application areas. | 1,5,10 | 1, 3, 4 | | 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), PO : Learning Outcome | | |
| Definition of close range photogrammetry, coordinate systems and transformations, general description on digital photogrammetry, developing the method and system, camera calibration, distortion, real time photogrammetry, basic measuring algorithm and techniques, network design, engineering photogrammetry definition, architecture and archeological photogrammetry, medical photogrammetry, photogrammetric applications for industrial areas, using photogrammetry in aircraft and automotive sectors, photogrammetry for nuclear power station setup, terrestrial digital photogrammetric softwares, applications. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Definition of close range photogrammetry | | | Week 2 | Coordinate systems and transformations | | | Week 3 | General description on digital photogrammetry | | | Week 4 | Developing the method and system | | | Week 5 | Camera calibration | | | Week 6 | Distortion | | | Week 7 | Real time photogrammetry | | | Week 8 | Mid-term exam | | | Week 9 | Basic measuring algorithm and techniques, network design | | | Week 10 | Engineering photogrammetry definition | | | Week 11 | Architecture and archeological photogrammetry | | | Week 12 | Medical photogrammetry | | | Week 13 | Photogrammetric applications for industrial areas | | | Week 14 | Using photogrammetry in aircraft and automotive sectors | | | Week 15 | Photogrammetry for nuclear power station setup, software and applications. | | | Week 16 | End-of-term exam | | | |
| 1 | Atkinson, K., B., 1996, Close Range Photogrammetry and Machine Vision,Whittles Publishing, UK, 363 P. | | | |
| 1 | Tüdeş,T., 1996, Yer Fotogrametrisi, K.T.Ü.,Trabzon, 279 Sayfa. | | | 2 | Kraus, K., 1997, Photogrametry Volume 2, Advanced Methods and Applications, Germany, 459 P. | | | 3 | Mikhail, E., M., Bethel, S., J., McGlone, J., C., 2001, Modern Photogrammetry, John Wiley-Sons, USA, 473 P. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 30/03/2010 | 2 | 30 | | Homework/Assignment/Term-paper | 15 | 11/05/2010 | 10 | 20 | | End-of-term exam | 16 | 25/05/2010 | 2 | 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 | 8 | 14 | 112 | | Laboratuar çalışması | 2 | 3 | 6 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 2 | 1 | 2 | | Ödev | 3 | 5 | 15 | | Dönem sonu sınavı için hazırlık | 6 | 1 | 6 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 190 |
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