Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8EEE 439INTRODUCTION TO REMOTE SENSING3+0+03525.06.2026

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS E.
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course 1. To give basic concepts about remote sensing.
2. To introduce the remote sensing systems.
3. To introduce the methods used in remote sensing such as basic digital image processing, pattern recognition and classification.
Course Content Overview of remote sensing systems, application areas of remote sensing, Electromagnetic radiation, multispectral and hyperspectral scanning systems, remote sensing in microwave region, radar imaging and SAR systems, remote sensing satellites, data acquisition and processing, classification and data fusion.
Course Methods and Techniques In-class lectures, projects.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Mehmet Demir mehmetdemir@gantep.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Introduction to Remote Sensing, James B. Campbell and Randolph H. Waynne, The Guilford Press 5th Edition, 2011, ISBN: 160918176X
Remote Sensing and Image Interpretation, Thomas Lillesand, Ralph W. Kiefer and Jonathan Chipman, Wiley-Press, 2015, ISBN:9781118343289
Course Notes Provided during lectures

Course Category
Engineering %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 2 % 60
Final examination 1 % 40
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Weekly lecture hours 14 3 42
Weekly practical lecture hours 14 5 70
Internet browsing, library work 14 1 14
Material design, application 2 3 6
Midterm and midterm exam preparation 1 3 3
Total Work Load   Number of ECTS Credits 5 135

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Knows fundamentals of remote sensing,
2 Knows remote sensing systems,
3 Can choose a system to meet desired performance,
4 Knows image and data processing fundamentals.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to remote sensing, physical basics and applications
2 Sources of radiation, radiation laws, atmospherical Windows
3 Remote sensing platforms, object characteristics
4 Detection and recording of radiation, data formats
5 Framing and scanning systems, Multispectral scanning and sensing systems
6 Remote sensing in microwave region
7 Microwave radiometer and Radar Imaging
8 Fundamentals of SAR systems: Stripmap and focused SAR
9 Advanced SAR techniques: Interferometric SAR (InSAR) and signal characteristics in SAR images (speckle noise and despeckling methods)
10 Digital image processing, pattern recognition
11 Pattern recognition in remote sensing and basic classification methods
12 Advanced classification methods and applications
13 Remote sensing satellites: ERS 1-2, SPOT, Landsat, Radarsat, Meteosat, NOAA
14 Data fusion in remote sensing

 
Sustainable Development Goals
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 5 3 5 5 3 3
C1 5 5 3 5 5 3 3
C2 5 5 3 5 5 3 3
C3 5 5 3 5 5 3 3
C4 5 5 3 5 5 3 3

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