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| HRT3020 | Digital Photogrammetry | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Group study, Practical | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Fevzi KARSLI | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Main objective of this course is to acquaint the students with the techniques of digital photogrammetry, its applicability and limitations as an alternative to conventional surveying techniques, and explain how to obtain the third dimension from digital aerial images. |
| 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 the role of photogrammetry in mapping applications. | 1,2,6 | 1,3 | | LO - 2 : | Identify and describe the fundamental properties of digital aerial cameras and sensors and their products such as digital images. | 1,2,6 | 1,3 | | LO - 3 : | Have the ability to given a set of accuracy requirements for a Mapping project, prescribe the system and mission characteristics for the project. | 1,2,6 | 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 | | |
| Digital image, geometric and radiometric properties of digital iömages, digital aerial cameras, scanning methods, mathematical model in digital photogrammetry, digital flight planning, image orientation, image correlation and matching strategies, digital orthophoto and DEM production, digital photogrammetric workstations and softwares. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, definitions and applications. | | | Week 2 | Digital image and its geometric and radiometric properties | | | Week 3 | Digital aerial cameras | | | Week 4 | Image acquisiton and scanning methods | | | Week 5 | Mathematical model in digital photogrammetry | | | Week 6 | Digital flight planning | | | Week 7 | Digital image orientation | | | Week 8 | Midterm exam | | | Week 9 | Digital image matching and image correlation | | | Week 10 | Digital orthophoto | | | Week 11 | DEM and DTM production. | | | Week 12 | Digital photogrammetric workstations and softwares | | | Week 13 | Mapping with Erdas Imagine Photogrammetry | | | Week 14 | Mapping with Erdas Imagine Photogrammetry | | | Week 15 | Student project presentations. | | | Week 16 | Final exam | | | |
| 1 | Schenk, Toni (1999). Digital Photogrammetry, vol. 1., Terrascience. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 15/04/2017 | 1 | 30 | | Homework/Assignment/Term-paper | 15 | 20/05/2017 | 5 | 20 | | End-of-term exam | 16 | 01/06/2017 | 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 | 2 | 14 | 28 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 8 | 1 | 8 | | Arasınav | 1 | 1 | 1 | | Uygulama | 1 | 1 | 1 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 5 | 2 | 10 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | 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 | | | 107 |
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