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| JDZ5820 | Digital Image Processing in Remote Sensing | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall 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 | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The objective of this course is to teach the theory and mathematical principles of digital image processing techniques used frequently in projects that use remotely sensed images. Upon successful completion of this course, students also will be able to write codes of digital image processing algorithms using some leading programming languages. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn how to apply digital image processing techniques to remotely sensed images | 1,2,3,4,5,6,7,8,9,10,11,12 | 1,3 | | PO - 2 : | make raw remote sensing data useful by applying required pre-processing algorithms | 1,2,3,4,5,7,8,9,10,11,12 | 1,3 | | PO - 3 : | which digital image processing technique should be used for a particular remote sensing problem | 1,2,3,4,5,6,7,8,9,10,11,12 | 1,3 | | PO - 4 : | write codes on by himself/herself for digital image processing techniques and apply them to solve remote sensing problems | 1,2,3,4,5,6,7,8,9,10,11,12 | 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 | | |
| Image histogram and feature space concepts. Band ratios and vegetation indexes. PCA transform. RGB-IHS transform. Tasseled-Cap transforms. Contrast enhancement techniques. Spatial Transforms. Linear, statistical and gradient filters. Fourier transforms. Wavelet transforms. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Definition of digital image. Process of creating digital images. Conceps of pixel, band, panchromatic, multispectral and hyperspectral images. | | | Week 2 | Concept of resolution. Spatial, spectral, radiometric and temporal resolution concepts. | | | Week 3 | İmage histogram. Definition of contrast enhancement. Linear and non-linear contrast enhancement methods. | | | Week 4 | Image transforms. Arithmetic operations (sum, difference, division and multiplication of two images). | | | Week 5 | Vegitation indexes. NDVI, TNDVI, Tasseled-cap transform. | | | Week 6 | PCA transform. Kontrast enhancement using PCA tranform. İmage fusion using PCA transform | | | Week 7 | Color concept. Theory of color images. RGB and IHS color spaces and their definitions. | | | Week 8 | Mid-term exam | | | Week 9 | Conversion between different color spaces. Color transform between RGB and IHS color spaces. Using IHS color space for contrast enhancement and image fusion. | | | Week 10 | Filtering techniques. Spatia domain low-pass filters. Spatial domain high-pass filters. Spatial domain edge detecters. Frequency domain filters. | | | Week 11 | Introduction to Fourier transform. 1-D Fourier transform. | | | Week 12 | 2-D Fourier transform. Applications of discrete Fourier transform | | | Week 13 | The Discrete Wavelet Transform. Introduction. The one-dimensional discrete wavelet transform | | | Week 14 | The two-dimensional discrete wavelet transform. | | | Week 15 | Applications of Discrete Wavelet Transform. | | | Week 16 | End-of-term exam | | | |
| 1 | Schowengerdt, R.A. 2007; Remote Sensing Models and Methods for Image Processing. Third Edition. Elsevier, USA. | | | |
| 1 | Gonzales, R.C., Woods, R.E. 2008; Digital Image Processing. Prentice Hall, USA. | | | 2 | Mather, P.M., 1987. Computer Processing of Remotely Sensed Images, USA. | | | 3 | Campbell, J. B., 1996. Introduction to Remote Sensing, The Guilford Press | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | Homework/Assignment/Term-paper | 12 | | 1 | 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 | 6 | 8 | 48 | | Arasınav için hazırlık | 7 | 6 | 42 | | Arasınav | 1 | 1 | 1 | | Ödev | 4 | 8 | 32 | | Dönem sonu sınavı için hazırlık | 6 | 5 | 30 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 196 |
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