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| HRT3024 | Synthetic Aperture Radar | 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 | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Doç. Dr. Esra TUNÇ GÖRMÜŞ | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | This lecture teaches interpretation and processing of Radar images . It also teaches producing mapping products by using programming tools from SAR images. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Students will learn the geometry and other properties of RADAR imaging system. | 1,4 | | | LO - 2 : | Students will be able to produce Interferometry and DEM by using SAR images. | | | | 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 | | |
| This lecture aims to teach generating Interferometry and DEM from SAR images after introducing the basics,geometry and imaging system of RADAR. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction and basic terms about RADAR. | | | Week 2 | RADAR imaging systems and producing images. | | | Week 3 | Polarisation | | | Week 4 | Parameters that effect the reflection of Radar signals. | | | Week 5 | Range resolution | | | Week 6 | Azimuth resolution. | | | Week 7 | Synthetic aparture radar technology and and principles. | | | Week 8 | Distortions of radar imaging- Information about the homework. | | | Week 9 | Midterm exam | | | Week 10 | Interferometry - InSAR principles | | | Week 11 | Producing DEM with using SAR. | | | Week 12 | Measuring surface topography with SAR images | | | Week 13 | Measuring deformations with SAR images. | | | Week 14 | Determining soil properties by using SAR images | | | Week 15 | Analysing DEMs produced from SAR images | | | Week 16 | FINAL Exam | | | |
| 1 | Ian G. Cumming , Frank H. Wong ;Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation, ISBN-13: 978-1580530583 | | | |
| 1 | Elachi, C., Spaceborne Radar Remote Sensing: Applications and Techniques, IEEE press,New York, 1988. | | | 2 | Curlander, J.C. and R.N. McDonough, Synthetic Aperture Radar, Wiley Interscience, New York, 1991. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | | 30 | | Practice | 11 | | | 20 | | End-of-term exam | 16 | | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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