1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. GEOLOGICAL ENGINEERING DEPARTMENT
  4. 1149 Geological Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
JEO 526IMAGE PROCESSING IN REMOTE SENSING3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Aim of this course is to teach students in advanced techniques in remote sensing
Course Content Radiometric image correction and the calibration of satellite radiance to ground reflectance, multi-spectral and hyper-spectral classification, image segmentation, feature space transformations, imaging spectroscopy, spectral mixture analysis, spectral angle mapping, change detection.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To give image processing algorithms to identify geological features in the images.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19PO 20
LO 001             5      
Sub Total             5      
Contribution00000000000005000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)148112
Mid-terms12020
Final examination12121
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Spring1HULUSİ KARGI
Details 2019-2020 Fall1HULUSİ KARGI
Details 2011-2012 Spring1HULUSİ KARGI
Details 2009-2010 Spring1HULUSİ KARGI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
JEO 526 IMAGE PROCESSING IN REMOTE SENSING 3 + 0 1 Turkish 2022-2023 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. HULUSİ KARGI hkargi@pau.edu.tr MUH B0209 %
Goals Aim of this course is to teach students in advanced techniques in remote sensing
Content Radiometric image correction and the calibration of satellite radiance to ground reflectance, multi-spectral and hyper-spectral classification, image segmentation, feature space transformations, imaging spectroscopy, spectral mixture analysis, spectral angle mapping, change detection.
Topics
WeeksTopics
1 Radiometric image correction
2 Calibration of satellite radiance to ground reflectance
3 Multi-spectral classification
4 Hyper-spectral classification
5 Image segmentation
6 Feature space transformations
7 Imaging spectroscopy
8 Imaging spectroscopy (continued)
9 Spectral mixture analysis
10 Spectral mixture analysis (continued)
11 Spectral angle mapping
12 Spectral angle mapping (continued)
13 Change detection
14 Change detection (continued)
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes