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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
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Remote Sensing | MEH568 | Elective | Master's degree | 1 | Spring | 10 |
Prof. Dr. Ali TANGEL
Associate Prof. Dr. Alp ERTÜRK
1) Identifies the basics of remote sensing.
2) Interprets spectral, spatial, radiometric and temporal resolution.
3) Informed about the Earth observation satellites and missions of our country.
4) Identifies the basics of multispectral and hyperspectral images.
5) Evaluates SONAR, RADAR, SAR and LiDAR images.
6) Applies feature extraction to hyperspectral images.
7) Implements segmentation, classification, target detection and change detection for hyperspectral images.
Program Competencies | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
Learning Outcomes | ||||||||
1 | No relation | Low | No relation | No relation | No relation | No relation | No relation | |
2 | Middle | Low | No relation | No relation | No relation | No relation | No relation | |
3 | No relation | High | No relation | No relation | No relation | No relation | No relation | |
4 | Middle | Low | No relation | No relation | No relation | No relation | No relation | |
5 | Middle | Low | No relation | No relation | No relation | No relation | No relation | |
6 | No relation | High | No relation | No relation | No relation | No relation | No relation | |
7 | No relation | High | No relation | No relation | No relation | No relation | No relation |
Face to Face
None
Not Required
The history and purpose of remote sensing, Electromagnetic scattering, Photographic sensors, Digital data, Image interpretation, Earth observation satellites, Active microwave and LIDAR, Thermal scattering, Image resolution, Hyperspectral remote sensing.
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% |
Turkish
Not Required