Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu

Description of Individual Course Units

Course Unit CodeCourse Unit TitleType of CourseYearSemesterECTS
HRT415 Radiometrics 927006 4 7 3
Level of Course Unit
First Cycle
Objectives of the Course
Instruction of physical and mathematical models of remote sensing in detail.
Name of Lecturer(s)
Assist. Prof. Dr. Sedat Doğan
Learning Outcomes
  1. Understand the physical nature of remote sensing technology and the underlying electromagnetic theory.
  2. Understand how sensor sensors should be produced.
  3. The sensors will understand the principles of making measurements.
  4. Will learn the interaction mechanisms of objects with electromagnetic radiation at the electronic and molecular level and their mathematical expressions
Mode of Delivery
Formal Education
Prerequisites and co-requisities
Recommended Optional Programme Components
Recommended or Required Reading
Schowengerdt, R.A., 2007. Remote Sensing, Models and Methods for Image Processing. Elsevier Inc.
Egan W.G., 2004. Optical Remote Sensing, Marcel Dekker Inc.
Rees W.G., 2001. Physical Principles of Remote Sensing, Cambridge University Press.
Elachi, C and Van Zyl, J., 2006. Introduction to Physics and Techniques of Remote Sensing, Wiley and Sons Inc. Publication.
Planned Learning Activities and Teaching Methods
Language of Instruction
Work Placement(s)
Course Contents
Electromagnetic radiation, radiation units, measurement of electromagnetic radiation. Photometry, photometric units. Physical nature of digital images. Relations between scene physics and images.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1.Nature and properties of electromagnetiv waves.
2.Maxwell equations, solution of wave equations.
3.Quantum properties of electromagnetic waves.
4.Nomenclature of radiation magnitudes and their units.
5.Spectral magnitudes.
7.Illumination, illumination units.
8.Measurement of electromagnetic radiation.
9.Remotely sensing of the solid objects with visible and IR spectrum.
10.Mid-term exam.
11.Reflection mechanisms and their radiometry.
12.Bi-directional reflection distribution function model.
13.Extraction of light and shadow information from digital images by using the reflection models.
14.Thermal radiography and application fields.
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight (%)
Midterm Examination170
End Of Term (or Year) Learning ActivitiesQuantityWeight (%)
Final Examination1100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Workload Calculation
ActivitiesQuantityTime(hours)Total Workload(hours)
Midterm Examination111
Final Examination111
Attending Lectures14228
Individual Study for Homework Problems3515
Individual Study for Mid term Examination155
Individual Study for Final Examination155