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Syllabus ( GEO 309 )


   Basic information
Course title: Photogrammetry I
Course code: GEO 309
Lecturer: Assoc. Prof. Dr. Bahadır ERGÜN
ECTS credits: 4
GTU credits: 3 ()
Year, Semester: 3, Fall
Level of course: First Cycle (Undergraduate)
Type of course: Compulsory
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: With this course students, mathematical and optical model about the data and acqusation systems is intended to be in-depth knowledge in Photogrammetric surveying. In addition to this, students have to be able to information about coordinate systems, transformations and its error statements.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Identify the fundamentals of photogrammetry

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Explain and interpret the fundamentals of photogrammetric image acquisition systems.

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering

    Method of assessment

    1. Written exam
    2. Homework assignment
  3. Apply basic of the mathematical process of the photogrammetric imaging via basic of the optical principles and basic of optical fundamentals of the data acquisition systems for photogrammetry.

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering
    2. Use modern equipment and software packages related to Geomatics Engineering
    3. Demonstrate professional and ethical responsibility.

    Method of assessment

    1. Written exam
    2. Homework assignment
   Contents Up
Week 1: Object Space Coordinate Systems:
Geoid ,geocentric, local coordinate systems have been defined.
Datum and transformations (Afinne and Conformal) between corrdinate systems have been explained within examples.
Week 2: Image Coordinate System:
Optical projection, image coordinate system has been defined within datum, axes and its errors. The calculation of image refinement have been has been defined within examples.
Week 3: The Basic Mathematical Principle of Photogrammetry:
Methematical model of Projective transformation has been defined. Collinearity condition has been defined and object space to image space coordinate transformations have explained within examples.
Week 4: The Geometry of Vertical Photogrammetry
Calculation of image scale and height of flight have been explained from vertical aerial photographs with error propagation via coordinate definetion within examples.
Week 5: Stereo-Photogrammetry and Stereoscopic View:
Depth perception and basic of stereoscopic viewing have been defined. Coplenearity condition and stereoscopic image measurement and calculation of object coordinates have been explained within calculation examples.
Week 6: Stereoscopic Parallax Geometry and Oblique Photogrammetry:
Oblique photogrammetric corrections and measurement of parallaxes have been explained.Calculation of image coordinates from parallax measurements have been explained with mirror-stereoscopes.
Week 7: Midterm Exam
Week 8: Cameras and Imaging Systems in Photogrammetry:
Cameras and imaging devices heve been explained in Aerial Photogrammetry. The analog imaging properties have been explained within projection properties.
Week 9: Flight Planning in Aerial Photogrammetry:
Flight planning parameters and its calculation of bases have been defined with examples. Homework.
Week 10: Flight Planning in Aerial Photogrammetry:
Flight planning parameters and its calculation of bases have been defined with examples. Making sample flight planning.
Week 11: Pixel Coordinate System:
Datum and the axes of pixel coordinate system have been defined. Coordinate transformation of pixel coordinate system between image coordinate system have been explained within examples.
Week 12: Geometric Calibration in Image System:
Geometric camera calibration and systematical errors of lenses have been explained. Calculation of geometric calibration has been explained within mathematical lens distortion examples.

Week 13: Digital Imaging in Photorammetry:
Digital image function has been defined in Photogrammetry. Radiometric spectrum and image histogram explained.
Week 14: Image Processing in Photogrammetry:
Automatic image matching and filtering methods have been defined via digital image function. Automatic target detection method has been explained within cross-correlation example.
Week 15*: -
Week 16*: Final Examination.
Textbooks and materials: Fotogrametri Ders Notları
Recommended readings: Photogrammetry I-II, Karl Kraus, ISBN:3427786846, Dümmler&Verlag, 1993
Elements of Photogrammetry, Paul R. Wolf, ISBN:9780072924543, McGraw-Hill Comp., 2000
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 30
Other in-term studies: 0
Project: 0
Homework: 9 10
Quiz: 0
Final exam: 16 60
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 3 11
Practice, Recitation: 1 11
Homework: 5 1
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 2 1
Mid-term: 2 1
Personal studies for final exam: 2 1
Final exam: 3 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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