Geomatic Engineering with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

GEOM507

Course Name:

Digital Image Matching

Course Semester:

Fall
Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3		3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Course Coordinator :

Dr.Öğr.Üyesi MUSTAFA KURT

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	It is the detailed examination of point measurement methods performed automatically by software in photogrammetry and the understanding of mathematical models.
Course Content:	Advantages of digital photogrammetry over analog and analytical photogrammetry and system components, concept of resolution in digital images, statistical representation of digital images, concepts of orientation and photogrammetric triangulation, what is digital image matching, what are its methods, examination of cross-correlation and least squares methods, DEM concepts and methods.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Knows the basic principles of image matching methods and ensures optimum configuration when creating photogrammetric blocks.
2 - Skills
Cognitive - Practical
1) Knows possible sources of error in photogrammetric block measurements and makes necessary corrections to increase the accuracy level.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Selects and applies the DEM creation method and technology based on the accuracy expected from the final product.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	General information about digital photogrammetry
2)	The concept of aerial triangulation and automatic tie point generation.
3)	Bundle block adjustment
4)	The concept of the digital elevation model and generation methods
5)	Surface interpolation in DEM
6)	Image matching methods
7)	Image matching methods
8)	Literature review and presentation preparation
9)	Literature review and presentation preparation
10)	Literature review and presentation preparation
11)	Presentation
12)	Presentation

Sources

Course Notes / Textbooks:	pdf formatta ders notları ve internet açık kaynaklar
References:

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) He/she knows which data, methods, and technologies to use to solve complex problems in surveying engineering.
2) Be able to apply technologies and methods related to collecting, analyzing, managing, and presenting spatial data.
3) Continues professional development by following national and international literature.
4) Can manage technical projects related to his/her field and provide consultancy when necessary.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	He/she knows which data, methods, and technologies to use to solve complex problems in surveying engineering.
2)	Be able to apply technologies and methods related to collecting, analyzing, managing, and presenting spatial data.
3)	Continues professional development by following national and international literature.
4)	Can manage technical projects related to his/her field and provide consultancy when necessary.

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson
Homework
Web Based Learning

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Presentation
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 5
Homework Assignments	1	% 45
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	11	33	363
Application	2	6	12
Study Hours Out of Class	3	18	54
Presentations / Seminar	2	6	12
Homework Assignments	1	3	3
Final	1	3	3
Total Workload			447