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JDZ5150 | Non-Topographical Photogrammetri | 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 photogrammetry, define digital photogrammetric systems, and decide how and where to use photogrammetric systems. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | Have ability to demonstrate knowledge and understanding of digital photogrammetry and its application. | 1,5,10 | 1, 3, 4 | PO - 2 : | Learn and apply the methods of digital photogrammetric triangulation. | 1,5,10 | 1, 3, 4 | PO - 3 : | Use digital photogrammetric workstations and the software related to digital photogrammetry to produce photogrammetric mapping. | 1,5,10 | 1, 3, 4 | PO - 4 : | Perform 3D viewing on digital images and resampling process. | 1,5,10 | 1, 3, 4 | PO - 5 : | Learn the producing techniques of DTM and ortho-photo, and integrate the data with GIS. | 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 | |
General definitions and descriptions, history of digital photogrammetry, digital inner orientation, one or two image orientation, methods used image orientation, bundle block adjustment, digital exterior orientation, epipolar matching and defining heights, TIN/DEM editing, 3D viewing technologies, DEM producing, image rectification, resampling techniques, differential rectification, scanners, ortho-photo producing, definition of scale, resolution, accuracy, managing the data, applications area of digital photogrammetry. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | General definitions and descriptions, history of digital photogrammmety | | Week 2 | Digital inner orientation | | Week 3 | One or two image orientation | | Week 4 | Methods used image orientation | | Week 5 | Bundle block adjustment | | Week 6 | Digital exterior orientation | | Week 7 | Epipolar matching and defining heights, TIN/DEM editing | | Week 8 | Mid-term exam | | Week 9 | 3D viewing technologies | | Week 10 | DEM producing, image rectification | | Week 11 | Resampling techniques | | Week 12 | Differential rectification, scanners | | Week 13 | Ortho-photo producing, definition of scale | | Week 14 | Resolution, accuracy | | Week 15 | Managing the data, Applications area of digital photogrammetry | | Week 16 | End-of-term exam | | |
1 | Schenk, T., 1999. Digital Photogrammetry. Terra Science, Laurelville, Ohio, 428 p. | | |
1 | Kraus, K., 1997, Photogrametry Volume 2, Advanced Methods and Applications, Germany, 459 P. | | 2 | Atkinson, K., B., 1996, Close Range Photogrammetry and Machine Vision,Whittles Publishing, UK, 363 P. | | 3 | www.isprs.org | | 4 | www.asprs.org | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 8 | 09/04/2016 | 2 | 30 | Homework/Assignment/Term-paper | 13 | 07/05/2016 | 10 | 20 | End-of-term exam | 16 | 04/06/2016 | 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 | 7 | 14 | 98 | Laboratuar çalışması | 2 | 4 | 8 | Arasınav için hazırlık | 10 | 1 | 10 | Arasınav | 2 | 1 | 2 | Ödev | 3 | 5 | 15 | Dönem sonu sınavı için hazırlık | 10 | 1 | 10 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 187 |
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