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| JDZL5980 | Advanced Remote Sensing | 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 | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Volkan YILMAZ | | Co-Lecturer | | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | The purpose of this course is to teach basic principles of remote sensing. Upon successful completion of this course students will be able to produce processed image products for different disciplines using remote sensing images. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Understand spatial and spectral properties of remotely sensed images and get familiar with optical and SAR systems | 1 | 1, | | PO - 2 : | Sort different images based on their spatial and spectral resolutions and preprocess them to make ready for different applicatons. | 1 | 1, | | PO - 3 : | Use different remote sensing software package | 9 | 1,3, | | PO - 4 : | Write their own image enhancement codes and apply them to remote sensing images | 1 | 1,3, | | PO - 5 : | Plan and complete a remote sensing project | 1 | 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), PO : Learning Outcome | | |
| Basic principles of remote sensing. Electromagnetic radiation and its properties. Energy interactions in the atmosphere, Energy interactions with earth surface features (Vegetation, Soil, Water). Spatial, radiometric and spectral resolution. Optical and near-infrared sensors. Thermal and microwave sensors. Properties of digital remote sensing images. Different image formats. Atmospheric and geometric corrections. Image enhancement techniques and applications. Image transforms and applications. Image filtering techniques and applications. Supervised and unsupervised classification algorithms and their applications.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, content of the course, concepts, general descriptions and course materials | | | Week 2 | Concept of spatial, spectral and radiometric resolution. | | | Week 3 | Optıcal and near ınfrared sensors | | | Week 4 | Thermal and microwave sensors | | | Week 5 | Properties of remote sensing images and different image formats. | | | Week 6 | Atmospheric and geometric corrections of remotely sensed images. | | | Week 7 | Image enhancement techniques | | | Week 8 | Theory of image transforms. PCA and IHS transform algorithms. | | | Week 9 | Mid-term exam | | | Week 10 | Matlab applications of PCA ve IHS transform algorithms | | | Week 11 | Image filtering techniques. | | | Week 12 | Matlab applications of different filtering techniques | | | Week 13 | Definitions of parametric and non-parametric signatures. Different techniques of creating and evaluating parametric and non-parametric signatures. | | | Week 14 | Concept of unsupervised classification. Theory of unsupervised classification algorithms | | | Week 15 | Concept of supervised classification. Theory of supervised classification algorithms | | | Week 16 | Final exam | | | |
| 1 | Mather, P.M. 1987; Computer Processing of Remotely Sensed Images, USA. | | | 2 | Mather, P.M. 1987; Computer Processing of Remotely Sensed Images, USA. | | | 3 | Erdas Fieldguide | | | 4 | Erdas Fieldguide | | | |
| 1 | Campbell, J. B. 1996; Introduction to Remote Sensing, The Guilford Press. | | | 2 | Campbell, J. B. 1996; Introduction to Remote Sensing, The Guilford Press. | | | 3 | Lillesand, T.M , Kiefer, R.W. 1997; Remote Sensing and Image Interpretation, John Wiley Sons, USA. | | | 4 | Lillesand, T.M , Kiefer, R.W. 1997; Remote Sensing and Image Interpretation, John Wiley Sons, USA. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | Homework/Assignment/Term-paper | 12 | | | 20 | | End-of-term exam | 16 | | 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 | 5 | 7 | 35 | | Arasınav için hazırlık | 8 | 2 | 16 | | Arasınav | 1 | 1 | 1 | | Ödev | 5 | 8 | 40 | | Proje | 17 | 1 | 17 | | Dönem sonu sınavı için hazırlık | 8 | 2 | 16 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 168 |
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