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Institute of Graduate Studies
Geomatics (without thesis)
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Geomatics (without thesis) Main Page / Program Curriculum / Data Processing Methods and Systems in Remote Sensing

Data Processing Methods and Systems in Remote Sensing

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
İMSY 0114 Data Processing Methods and Systems in Remote Sensing 3/0/0 DE English 9
Course Goals
To help students understand acquision techniques and sensors using in remote sensing. 
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Professor Cem GAZİOĞLU
Course Assistant(s) None
Schedule Will be announced at the beginning of semester
Office Hour(s) Will be announced at the beginning of semester
Teaching Methods and Techniques -Lecture,discussion
Principle Sources -Lillesand,T.M.&Kiefer,R.W., (1999), Remote sensing and image interpretation, 4th ed. ISBN 0471255157, , 736 pp.

 
Other Sources -Maktav, D; Erbek, F.S., (1991), Uzaktan Algılama (Kantitatif Yaklaşım), (Çeviri kitap).
Rafael C. Gonzalez, Richard E. Woods, (2001), Digital Image Processing, Second Ed.

 
Course Schedules
Week Contents Learning Methods
1. Week Introduction Oral presentation
2. Week Electromagnetic waves as data transferer Oral presentation
3. Week Main parameters in RS sensors Oral presentation
4. Week Spectral, spatial and intensity informations Oral presentation
5. Week Types of sensor Oral presentation
6. Week Frames with and without views Oral presentation
7. Week Spectral and spatial resolutions of sensor systems Oral presentation
8. Week LIDAR Oral presentation
9. Week LIDAR; electromagnetic radiation Oral presentation
10. Week LIDAR; signal processing Oral presentation
11. Week LIDAR applications Oral presentation
12. Week SAR and LIDAR comparision Oral presentation
13. Week Hiperspectral remote sensing Oral presentation
14. Week Data types Oral presentation
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Homework / Term Projects / Presentations 1 10
Final Exam 1 50


Program Outcomes
PO-1Develop and deepen knowledge in the field of Geomatics Engineering.
PO-2Conceive the interdisciplinary interaction which the field of Geomatics Engineering is related with.
PO-3Use of theoretical and practical knowledge within the field of Geomatics Engineering at a proficiency level.
PO-4Interpret the knowledge about the field of Geomatics Engineering by integrating the information gathered from different disciplines and formulate new knowledge.
PO-5Solve the problem faced related to the field of Geomatics Engineering by using research methods.
PO-6Independently conduct studies that require proficiency in the field of Geomatics Engineering
PO-7Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field of Geomatics Engineering.
PO-8Demonstrate leadership in contexts that require solving problems related to the field of Geomatics Engineering.
PO-9Evaluate knowledge and skills acquired at proficiency level in the field of Geomatics Engineering with a critical approach and direct the learning.
PO-10Communicate current developments and studies within the field of Geomatics Engineering to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
PO-11Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.
PO-12Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
PO-13Use advanced informatics and communication technology skills with software knowledge required by the field of Geomatics Engineering.
PO-14Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values.
PO-15Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes.
PO-16Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
Learning Outcomes
LO-11.To learn data acquisition
LO-22.To learn data processing
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 1
LO 2